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# monospace-pixel-small

This model is a fine-tuned version of [](https://huggingface.co/) on the wikipedia dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2340

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 500000

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.6779        | 0.02  | 1000   | 0.6512          |
| 0.6505        | 0.05  | 2000   | 0.6479          |
| 0.6475        | 0.07  | 3000   | 0.6461          |
| 0.6464        | 0.09  | 4000   | 0.6451          |
| 0.6455        | 0.12  | 5000   | 0.6444          |
| 0.6448        | 0.14  | 6000   | 0.6439          |
| 0.6222        | 0.16  | 7000   | 0.6123          |
| 0.6019        | 0.19  | 8000   | 0.5873          |
| 0.5838        | 0.21  | 9000   | 0.5689          |
| 0.5612        | 0.23  | 10000  | 0.5473          |
| 0.5428        | 0.26  | 11000  | 0.5301          |
| 0.527         | 0.28  | 12000  | 0.5141          |
| 0.5142        | 0.3   | 13000  | 0.5023          |
| 0.5002        | 0.33  | 14000  | 0.4842          |
| 0.4852        | 0.35  | 15000  | 0.4707          |
| 0.4697        | 0.37  | 16000  | 0.4562          |
| 0.459         | 0.4   | 17000  | 0.4430          |
| 0.45          | 0.42  | 18000  | 0.4343          |
| 0.4411        | 0.44  | 19000  | 0.4250          |
| 0.4322        | 0.47  | 20000  | 0.4133          |
| 0.4233        | 0.49  | 21000  | 0.4033          |
| 0.4146        | 0.51  | 22000  | 0.3944          |
| 0.4077        | 0.54  | 23000  | 0.3865          |
| 0.4019        | 0.56  | 24000  | 0.3818          |
| 0.3968        | 0.58  | 25000  | 0.3785          |
| 0.392         | 0.61  | 26000  | 0.3732          |
| 0.3869        | 0.63  | 27000  | 0.3670          |
| 0.3828        | 0.65  | 28000  | 0.3616          |
| 0.3786        | 0.68  | 29000  | 0.3613          |
| 0.3751        | 0.7   | 30000  | 0.3555          |
| 0.3713        | 0.72  | 31000  | 0.3529          |
| 0.3681        | 0.75  | 32000  | 0.3517          |
| 0.3656        | 0.77  | 33000  | 0.3477          |
| 0.3626        | 0.79  | 34000  | 0.3423          |
| 0.3601        | 0.82  | 35000  | 0.3443          |
| 0.3577        | 0.84  | 36000  | 0.3400          |
| 0.3555        | 0.86  | 37000  | 0.3369          |
| 0.3532        | 0.89  | 38000  | 0.3357          |
| 0.3514        | 0.91  | 39000  | 0.3329          |
| 0.3493        | 0.93  | 40000  | 0.3323          |
| 0.3477        | 0.96  | 41000  | 0.3314          |
| 0.3459        | 0.98  | 42000  | 0.3256          |
| 0.3441        | 1.0   | 43000  | 0.3270          |
| 0.3424        | 1.03  | 44000  | 0.3216          |
| 0.3408        | 1.05  | 45000  | 0.3245          |
| 0.3394        | 1.07  | 46000  | 0.3232          |
| 0.338         | 1.1   | 47000  | 0.3225          |
| 0.3363        | 1.12  | 48000  | 0.3195          |
| 0.3353        | 1.14  | 49000  | 0.3167          |
| 0.3338        | 1.16  | 50000  | 0.3172          |
| 0.3325        | 1.19  | 51000  | 0.3168          |
| 0.3316        | 1.21  | 52000  | 0.3141          |
| 0.3305        | 1.23  | 53000  | 0.3114          |
| 0.3303        | 1.26  | 54000  | 0.3110          |
| 0.3284        | 1.28  | 55000  | 0.3112          |
| 0.3276        | 1.3   | 56000  | 0.3099          |
| 0.3264        | 1.33  | 57000  | 0.3089          |
| 0.3256        | 1.35  | 58000  | 0.3104          |
| 0.3247        | 1.37  | 59000  | 0.3088          |
| 0.3241        | 1.4   | 60000  | 0.3056          |
| 0.3229        | 1.42  | 61000  | 0.3048          |
| 0.3223        | 1.44  | 62000  | 0.3062          |
| 0.3215        | 1.47  | 63000  | 0.3042          |
| 0.3208        | 1.49  | 64000  | 0.3029          |
| 0.3201        | 1.51  | 65000  | 0.3009          |
| 0.3198        | 1.54  | 66000  | 0.3037          |
| 0.3187        | 1.56  | 67000  | 0.3021          |
| 0.3179        | 1.58  | 68000  | 0.2990          |
| 0.3176        | 1.61  | 69000  | 0.3009          |
| 0.3169        | 1.63  | 70000  | 0.3002          |
| 0.3161        | 1.65  | 71000  | 0.2997          |
| 0.3156        | 1.68  | 72000  | 0.2982          |
| 0.3148        | 1.7   | 73000  | 0.2982          |
| 0.3143        | 1.72  | 74000  | 0.2961          |
| 0.3137        | 1.75  | 75000  | 0.2935          |
| 0.3132        | 1.77  | 76000  | 0.2974          |
| 0.313         | 1.79  | 77000  | 0.2965          |
| 0.3147        | 1.82  | 78000  | 0.2947          |
| 0.3118        | 1.84  | 79000  | 0.2940          |
| 0.3113        | 1.86  | 80000  | 0.2935          |
| 0.3109        | 1.89  | 81000  | 0.2936          |
| 0.3103        | 1.91  | 82000  | 0.2913          |
| 0.3102        | 1.93  | 83000  | 0.2955          |
| 0.3096        | 1.96  | 84000  | 0.2917          |
| 0.3093        | 1.98  | 85000  | 0.2931          |
| 0.3084        | 2.0   | 86000  | 0.2907          |
| 0.3086        | 2.03  | 87000  | 0.2908          |
| 0.3077        | 2.05  | 88000  | 0.2881          |
| 0.3087        | 2.07  | 89000  | 0.2878          |
| 0.3065        | 2.1   | 90000  | 0.2883          |
| 0.3063        | 2.12  | 91000  | 0.2891          |
| 0.3057        | 2.14  | 92000  | 0.2866          |
| 0.3066        | 2.17  | 93000  | 0.2894          |
| 0.3048        | 2.19  | 94000  | 0.2859          |
| 0.3051        | 2.21  | 95000  | 0.2881          |
| 0.3041        | 2.24  | 96000  | 0.2859          |
| 0.3039        | 2.26  | 97000  | 0.2837          |
| 0.3032        | 2.28  | 98000  | 0.2860          |
| 0.3039        | 2.31  | 99000  | 0.2858          |
| 0.3025        | 2.33  | 100000 | 0.2849          |
| 0.3023        | 2.35  | 101000 | 0.2857          |
| 0.3024        | 2.38  | 102000 | 0.2879          |
| 0.3018        | 2.4   | 103000 | 0.2866          |
| 0.3015        | 2.42  | 104000 | 0.2861          |
| 0.301         | 2.45  | 105000 | 0.2853          |
| 0.3008        | 2.47  | 106000 | 0.2859          |
| 0.3006        | 2.49  | 107000 | 0.2829          |
| 0.3003        | 2.52  | 108000 | 0.2835          |
| 0.2998        | 2.54  | 109000 | 0.2799          |
| 0.3001        | 2.56  | 110000 | 0.2816          |
| 0.2991        | 2.59  | 111000 | 0.2831          |
| 0.2987        | 2.61  | 112000 | 0.2819          |
| 0.2985        | 2.63  | 113000 | 0.2830          |
| 0.2981        | 2.66  | 114000 | 0.2824          |
| 0.2978        | 2.68  | 115000 | 0.2790          |
| 0.2973        | 2.7   | 116000 | 0.2793          |
| 0.2977        | 2.73  | 117000 | 0.2807          |
| 0.2969        | 2.75  | 118000 | 0.2817          |
| 0.2967        | 2.77  | 119000 | 0.2808          |
| 0.2965        | 2.8   | 120000 | 0.2787          |
| 0.2958        | 2.82  | 121000 | 0.2786          |
| 0.2968        | 2.84  | 122000 | 0.2792          |
| 0.2956        | 2.87  | 123000 | 0.2779          |
| 0.2948        | 2.89  | 124000 | 0.2770          |
| 0.2952        | 2.91  | 125000 | 0.2796          |
| 0.2943        | 2.94  | 126000 | 0.2771          |
| 0.2945        | 2.96  | 127000 | 0.2768          |
| 0.2945        | 2.98  | 128000 | 0.2766          |
| 0.2944        | 3.01  | 129000 | 0.2760          |
| 0.2944        | 3.03  | 130000 | 0.2758          |
| 0.2937        | 3.05  | 131000 | 0.2751          |
| 0.2935        | 3.08  | 132000 | 0.2737          |
| 0.2931        | 3.1   | 133000 | 0.2755          |
| 0.2936        | 3.12  | 134000 | 0.2768          |
| 0.2934        | 3.15  | 135000 | 0.2776          |
| 0.2925        | 3.17  | 136000 | 0.2716          |
| 0.2924        | 3.19  | 137000 | 0.2737          |
| 0.2931        | 3.22  | 138000 | 0.2753          |
| 0.2917        | 3.24  | 139000 | 0.2745          |
| 0.2918        | 3.26  | 140000 | 0.2774          |
| 0.2914        | 3.29  | 141000 | 0.2756          |
| 0.2913        | 3.31  | 142000 | 0.2743          |
| 0.2909        | 3.33  | 143000 | 0.2742          |
| 0.2911        | 3.36  | 144000 | 0.2735          |
| 0.2904        | 3.38  | 145000 | 0.2727          |
| 0.2903        | 3.4   | 146000 | 0.2748          |
| 0.2899        | 3.43  | 147000 | 0.2698          |
| 0.2896        | 3.45  | 148000 | 0.2718          |
| 0.2895        | 3.47  | 149000 | 0.2725          |
| 0.2892        | 3.49  | 150000 | 0.2716          |
| 0.2889        | 3.52  | 151000 | 0.2722          |
| 0.289         | 3.54  | 152000 | 0.2718          |
| 0.2888        | 3.56  | 153000 | 0.2718          |
| 0.2887        | 3.59  | 154000 | 0.2725          |
| 0.2888        | 3.61  | 155000 | 0.2710          |
| 0.289         | 3.63  | 156000 | 0.2686          |
| 0.2873        | 3.66  | 157000 | 0.2693          |
| 0.2876        | 3.68  | 158000 | 0.2717          |
| 0.2873        | 3.7   | 159000 | 0.2711          |
| 0.2883        | 3.73  | 160000 | 0.2702          |
| 0.287         | 3.75  | 161000 | 0.2717          |
| 0.2868        | 3.77  | 162000 | 0.2690          |
| 0.2869        | 3.8   | 163000 | 0.2686          |
| 0.286         | 3.82  | 164000 | 0.2662          |
| 0.286         | 3.84  | 165000 | 0.2697          |
| 0.2859        | 3.87  | 166000 | 0.2704          |
| 0.2858        | 3.89  | 167000 | 0.2678          |
| 0.2854        | 3.91  | 168000 | 0.2670          |
| 0.2853        | 3.94  | 169000 | 0.2691          |
| 0.2849        | 3.96  | 170000 | 0.2683          |
| 0.2858        | 3.98  | 171000 | 0.2663          |
| 0.2846        | 4.01  | 172000 | 0.2714          |
| 0.2846        | 4.03  | 173000 | 0.2669          |
| 0.2844        | 4.05  | 174000 | 0.2691          |
| 0.2839        | 4.08  | 175000 | 0.2685          |
| 0.284         | 4.1   | 176000 | 0.2669          |
| 0.2835        | 4.12  | 177000 | 0.2660          |
| 0.2833        | 4.15  | 178000 | 0.2681          |
| 0.2833        | 4.17  | 179000 | 0.2678          |
| 0.2839        | 4.19  | 180000 | 0.2671          |
| 0.2832        | 4.22  | 181000 | 0.2657          |
| 0.2828        | 4.24  | 182000 | 0.2643          |
| 0.2825        | 4.26  | 183000 | 0.2665          |
| 0.2854        | 4.29  | 184000 | 0.2665          |
| 0.2824        | 4.31  | 185000 | 0.2619          |
| 0.2819        | 4.33  | 186000 | 0.2657          |
| 0.2824        | 4.36  | 187000 | 0.2655          |
| 0.2815        | 4.38  | 188000 | 0.2621          |
| 0.2814        | 4.4   | 189000 | 0.2638          |
| 0.2821        | 4.43  | 190000 | 0.2650          |
| 0.281         | 4.45  | 191000 | 0.2648          |
| 0.2812        | 4.47  | 192000 | 0.2635          |
| 0.2809        | 4.5   | 193000 | 0.2629          |
| 0.2809        | 4.52  | 194000 | 0.2643          |
| 0.2805        | 4.54  | 195000 | 0.2625          |
| 0.2806        | 4.57  | 196000 | 0.2639          |
| 0.2805        | 4.59  | 197000 | 0.2628          |
| 0.2799        | 4.61  | 198000 | 0.2629          |
| 0.2802        | 4.64  | 199000 | 0.2624          |
| 0.2799        | 4.66  | 200000 | 0.2646          |
| 0.2796        | 4.68  | 201000 | 0.2606          |
| 0.2796        | 4.71  | 202000 | 0.2641          |
| 0.2795        | 4.73  | 203000 | 0.2627          |
| 0.2793        | 4.75  | 204000 | 0.2612          |
| 0.2789        | 4.78  | 205000 | 0.2591          |
| 0.2789        | 4.8   | 206000 | 0.2602          |
| 0.2789        | 4.82  | 207000 | 0.2611          |
| 0.2787        | 4.85  | 208000 | 0.2650          |
| 0.2784        | 4.87  | 209000 | 0.2615          |
| 0.2782        | 4.89  | 210000 | 0.2624          |
| 0.2783        | 4.92  | 211000 | 0.2621          |
| 0.2781        | 4.94  | 212000 | 0.2614          |
| 0.2779        | 4.96  | 213000 | 0.2598          |
| 0.2776        | 4.99  | 214000 | 0.2595          |
| 0.2774        | 5.01  | 215000 | 0.2608          |
| 0.2782        | 5.03  | 216000 | 0.2615          |
| 0.2779        | 5.06  | 217000 | 0.2626          |
| 0.2768        | 5.08  | 218000 | 0.2594          |
| 0.2774        | 5.1   | 219000 | 0.2606          |
| 0.2767        | 5.13  | 220000 | 0.2606          |
| 0.2763        | 5.15  | 221000 | 0.2605          |
| 0.2766        | 5.17  | 222000 | 0.2599          |
| 0.2763        | 5.2   | 223000 | 0.2582          |
| 0.2764        | 5.22  | 224000 | 0.2606          |
| 0.276         | 5.24  | 225000 | 0.2585          |
| 0.2758        | 5.27  | 226000 | 0.2608          |
| 0.2761        | 5.29  | 227000 | 0.2606          |
| 0.2759        | 5.31  | 228000 | 0.2582          |
| 0.2754        | 5.34  | 229000 | 0.2570          |
| 0.2753        | 5.36  | 230000 | 0.2596          |
| 0.2753        | 5.38  | 231000 | 0.2578          |
| 0.2749        | 5.41  | 232000 | 0.2568          |
| 0.2749        | 5.43  | 233000 | 0.2575          |
| 0.2748        | 5.45  | 234000 | 0.2570          |
| 0.2744        | 5.48  | 235000 | 0.2594          |
| 0.2748        | 5.5   | 236000 | 0.2592          |
| 0.2742        | 5.52  | 237000 | 0.2585          |
| 0.2742        | 5.55  | 238000 | 0.2570          |
| 0.2743        | 5.57  | 239000 | 0.2567          |
| 0.274         | 5.59  | 240000 | 0.2570          |
| 0.2739        | 5.62  | 241000 | 0.2584          |
| 0.2738        | 5.64  | 242000 | 0.2564          |
| 0.2737        | 5.66  | 243000 | 0.2559          |
| 0.2732        | 5.69  | 244000 | 0.2552          |
| 0.2733        | 5.71  | 245000 | 0.2560          |
| 0.2733        | 5.73  | 246000 | 0.2555          |
| 0.2732        | 5.76  | 247000 | 0.2539          |
| 0.2732        | 5.78  | 248000 | 0.2552          |
| 0.2729        | 5.8   | 249000 | 0.2535          |
| 0.2728        | 5.82  | 250000 | 0.2543          |
| 0.2729        | 5.85  | 251000 | 0.2555          |
| 0.2723        | 5.87  | 252000 | 0.2528          |
| 0.2722        | 5.89  | 253000 | 0.2557          |
| 0.2722        | 5.92  | 254000 | 0.2576          |
| 0.2718        | 5.94  | 255000 | 0.2552          |
| 0.2715        | 5.96  | 256000 | 0.2557          |
| 0.2725        | 5.99  | 257000 | 0.2527          |
| 0.2717        | 6.01  | 258000 | 0.2517          |
| 0.272         | 6.03  | 259000 | 0.2557          |
| 0.2717        | 6.06  | 260000 | 0.2546          |
| 0.2709        | 6.08  | 261000 | 0.2549          |
| 0.2708        | 6.1   | 262000 | 0.2543          |
| 0.2719        | 6.13  | 263000 | 0.2540          |
| 0.2706        | 6.15  | 264000 | 0.2522          |
| 0.2705        | 6.17  | 265000 | 0.2552          |
| 0.2708        | 6.2   | 266000 | 0.2525          |
| 0.2704        | 6.22  | 267000 | 0.2517          |
| 0.2701        | 6.24  | 268000 | 0.2536          |
| 0.2704        | 6.27  | 269000 | 0.2539          |
| 0.2702        | 6.29  | 270000 | 0.2548          |
| 0.2698        | 6.31  | 271000 | 0.2508          |
| 0.2703        | 6.34  | 272000 | 0.2518          |
| 0.2693        | 6.36  | 273000 | 0.2533          |
| 0.2698        | 6.38  | 274000 | 0.2530          |
| 0.2697        | 6.41  | 275000 | 0.2507          |
| 0.2691        | 6.43  | 276000 | 0.2510          |
| 0.2691        | 6.45  | 277000 | 0.2523          |
| 0.2689        | 6.48  | 278000 | 0.2522          |
| 0.2688        | 6.5   | 279000 | 0.2515          |
| 0.2686        | 6.52  | 280000 | 0.2516          |
| 0.2686        | 6.55  | 281000 | 0.2526          |
| 0.2686        | 6.57  | 282000 | 0.2530          |
| 0.2681        | 6.59  | 283000 | 0.2523          |
| 0.2683        | 6.62  | 284000 | 0.2518          |
| 0.268         | 6.64  | 285000 | 0.2508          |
| 0.2683        | 6.66  | 286000 | 0.2502          |
| 0.2681        | 6.69  | 287000 | 0.2507          |
| 0.2681        | 6.71  | 288000 | 0.2518          |
| 0.2679        | 6.73  | 289000 | 0.2504          |
| 0.2675        | 6.76  | 290000 | 0.2505          |
| 0.2679        | 6.78  | 291000 | 0.2502          |
| 0.2675        | 6.8   | 292000 | 0.2517          |
| 0.2672        | 6.83  | 293000 | 0.2517          |
| 0.2673        | 6.85  | 294000 | 0.2483          |
| 0.2671        | 6.87  | 295000 | 0.2483          |
| 0.2669        | 6.9   | 296000 | 0.2523          |
| 0.2666        | 6.92  | 297000 | 0.2494          |
| 0.2664        | 6.94  | 298000 | 0.2497          |
| 0.2953        | 6.97  | 299000 | 0.6473          |
| 0.6483        | 6.99  | 300000 | 0.6471          |
| 0.6477        | 7.01  | 301000 | 0.6461          |
| 0.6471        | 7.04  | 302000 | 0.6455          |
| 0.4659        | 7.06  | 303000 | 0.2599          |
| 0.2707        | 7.08  | 304000 | 0.2535          |
| 0.2681        | 7.11  | 305000 | 0.2525          |
| 0.2678        | 7.13  | 306000 | 0.2504          |
| 0.267         | 7.15  | 307000 | 0.2485          |
| 0.2663        | 7.18  | 308000 | 0.2510          |
| 0.266         | 7.2   | 309000 | 0.2499          |
| 0.2658        | 7.22  | 310000 | 0.2481          |
| 0.2656        | 7.25  | 311000 | 0.2481          |
| 0.2653        | 7.27  | 312000 | 0.2519          |
| 0.2652        | 7.29  | 313000 | 0.2483          |
| 0.2654        | 7.32  | 314000 | 0.2468          |
| 0.2653        | 7.34  | 315000 | 0.2493          |
| 0.265         | 7.36  | 316000 | 0.2473          |
| 0.2646        | 7.39  | 317000 | 0.2479          |
| 0.2647        | 7.41  | 318000 | 0.2483          |
| 0.2645        | 7.43  | 319000 | 0.2484          |
| 0.2642        | 7.46  | 320000 | 0.2467          |
| 0.2643        | 7.48  | 321000 | 0.2483          |
| 0.2643        | 7.5   | 322000 | 0.2488          |
| 0.2638        | 7.53  | 323000 | 0.2484          |
| 0.2636        | 7.55  | 324000 | 0.2478          |
| 0.2633        | 7.57  | 325000 | 0.2480          |
| 0.2633        | 7.6   | 326000 | 0.2482          |
| 0.2637        | 7.62  | 327000 | 0.2486          |
| 0.2634        | 7.64  | 328000 | 0.2464          |
| 0.2631        | 7.67  | 329000 | 0.2453          |
| 0.2631        | 7.69  | 330000 | 0.2482          |
| 0.263         | 7.71  | 331000 | 0.2436          |
| 0.2631        | 7.74  | 332000 | 0.2457          |
| 0.2629        | 7.76  | 333000 | 0.2470          |
| 0.2626        | 7.78  | 334000 | 0.2488          |
| 0.2626        | 7.81  | 335000 | 0.2465          |
| 0.2623        | 7.83  | 336000 | 0.2481          |
| 0.2624        | 7.85  | 337000 | 0.2449          |
| 0.2623        | 7.88  | 338000 | 0.2460          |
| 0.2626        | 7.9   | 339000 | 0.2447          |
| 0.262         | 7.92  | 340000 | 0.2456          |
| 0.2624        | 7.95  | 341000 | 0.2436          |
| 0.2618        | 7.97  | 342000 | 0.2451          |
| 0.2617        | 7.99  | 343000 | 0.2431          |
| 0.2614        | 8.02  | 344000 | 0.2446          |
| 0.2617        | 8.04  | 345000 | 0.2446          |
| 0.2612        | 8.06  | 346000 | 0.2443          |
| 0.261         | 8.08  | 347000 | 0.2445          |
| 0.261         | 8.11  | 348000 | 0.2460          |
| 0.261         | 8.13  | 349000 | 0.2420          |
| 0.2608        | 8.15  | 350000 | 0.2434          |
| 0.2607        | 8.18  | 351000 | 0.2465          |
| 0.261         | 8.2   | 352000 | 0.2440          |
| 0.2605        | 8.22  | 353000 | 0.2437          |
| 0.2605        | 8.25  | 354000 | 0.2444          |
| 0.2603        | 8.27  | 355000 | 0.2447          |
| 0.2599        | 8.29  | 356000 | 0.2416          |
| 0.2601        | 8.32  | 357000 | 0.2435          |
| 0.26          | 8.34  | 358000 | 0.2428          |
| 0.26          | 8.36  | 359000 | 0.2448          |
| 0.2596        | 8.39  | 360000 | 0.2432          |
| 0.2596        | 8.41  | 361000 | 0.2435          |
| 0.2595        | 8.43  | 362000 | 0.2439          |
| 0.2593        | 8.46  | 363000 | 0.2452          |
| 0.2593        | 8.48  | 364000 | 0.2412          |
| 0.2592        | 8.5   | 365000 | 0.2430          |
| 0.2587        | 8.53  | 366000 | 0.2405          |
| 0.2591        | 8.55  | 367000 | 0.2447          |
| 0.2586        | 8.57  | 368000 | 0.2428          |
| 0.259         | 8.6   | 369000 | 0.2415          |
| 0.2588        | 8.62  | 370000 | 0.2388          |
| 0.2585        | 8.64  | 371000 | 0.2436          |
| 0.2582        | 8.67  | 372000 | 0.2406          |
| 0.2583        | 8.69  | 373000 | 0.2428          |
| 0.2585        | 8.71  | 374000 | 0.2433          |
| 0.2578        | 8.74  | 375000 | 0.2411          |
| 0.2582        | 8.76  | 376000 | 0.2427          |
| 0.258         | 8.78  | 377000 | 0.2417          |
| 0.2576        | 8.81  | 378000 | 0.2399          |
| 0.2574        | 8.83  | 379000 | 0.2415          |
| 0.2579        | 8.85  | 380000 | 0.2417          |
| 0.2573        | 8.88  | 381000 | 0.2407          |
| 0.2575        | 8.9   | 382000 | 0.2418          |
| 0.2573        | 8.92  | 383000 | 0.2398          |
| 0.2573        | 8.95  | 384000 | 0.2400          |
| 0.2569        | 8.97  | 385000 | 0.2390          |
| 0.2572        | 8.99  | 386000 | 0.2373          |
| 0.2566        | 9.02  | 387000 | 0.2406          |
| 0.2565        | 9.04  | 388000 | 0.2388          |
| 0.2566        | 9.06  | 389000 | 0.2398          |
| 0.2564        | 9.09  | 390000 | 0.2411          |
| 0.2566        | 9.11  | 391000 | 0.2374          |
| 0.2564        | 9.13  | 392000 | 0.2417          |
| 0.2565        | 9.16  | 393000 | 0.2408          |
| 0.2566        | 9.18  | 394000 | 0.2391          |
| 0.2561        | 9.2   | 395000 | 0.2375          |
| 0.2562        | 9.23  | 396000 | 0.2393          |
| 0.256         | 9.25  | 397000 | 0.2419          |
| 0.2561        | 9.27  | 398000 | 0.2420          |
| 0.2554        | 9.3   | 399000 | 0.2418          |
| 0.2559        | 9.32  | 400000 | 0.2379          |
| 0.2555        | 9.34  | 401000 | 0.2394          |
| 0.2553        | 9.37  | 402000 | 0.2388          |
| 0.2553        | 9.39  | 403000 | 0.2373          |
| 0.2553        | 9.41  | 404000 | 0.2365          |
| 0.2555        | 9.44  | 405000 | 0.2398          |
| 0.2553        | 9.46  | 406000 | 0.2392          |
| 0.255         | 9.48  | 407000 | 0.2371          |
| 0.2548        | 9.51  | 408000 | 0.2382          |
| 0.2548        | 9.53  | 409000 | 0.2374          |
| 0.2548        | 9.55  | 410000 | 0.2390          |
| 0.2547        | 9.58  | 411000 | 0.2395          |
| 0.2544        | 9.6   | 412000 | 0.2367          |
| 0.2548        | 9.62  | 413000 | 0.2361          |
| 0.2545        | 9.65  | 414000 | 0.2389          |
| 0.2547        | 9.67  | 415000 | 0.2401          |
| 0.2545        | 9.69  | 416000 | 0.2389          |
| 0.2543        | 9.72  | 417000 | 0.2375          |
| 0.2543        | 9.74  | 418000 | 0.2396          |
| 0.2541        | 9.76  | 419000 | 0.2385          |
| 0.2541        | 9.79  | 420000 | 0.2357          |
| 0.2539        | 9.81  | 421000 | 0.2378          |
| 0.254         | 9.83  | 422000 | 0.2355          |
| 0.2537        | 9.86  | 423000 | 0.2358          |
| 0.2536        | 9.88  | 424000 | 0.2361          |
| 0.2534        | 9.9   | 425000 | 0.2385          |
| 0.2534        | 9.93  | 426000 | 0.2372          |
| 0.2535        | 9.95  | 427000 | 0.2362          |
| 0.2535        | 9.97  | 428000 | 0.2361          |
| 0.2532        | 10.0  | 429000 | 0.2369          |
| 0.2533        | 10.02 | 430000 | 0.2366          |
| 0.2529        | 10.04 | 431000 | 0.2381          |
| 0.2532        | 10.07 | 432000 | 0.2370          |
| 0.253         | 10.09 | 433000 | 0.2379          |
| 0.2531        | 10.11 | 434000 | 0.2394          |
| 0.2528        | 10.14 | 435000 | 0.2357          |
| 0.253         | 10.16 | 436000 | 0.2384          |
| 0.2525        | 10.18 | 437000 | 0.2387          |
| 0.2526        | 10.21 | 438000 | 0.2344          |
| 0.2527        | 10.23 | 439000 | 0.2362          |
| 0.2528        | 10.25 | 440000 | 0.2371          |
| 0.2525        | 10.28 | 441000 | 0.2355          |
| 0.2521        | 10.3  | 442000 | 0.2365          |
| 0.2523        | 10.32 | 443000 | 0.2356          |
| 0.2523        | 10.35 | 444000 | 0.2366          |
| 0.2519        | 10.37 | 445000 | 0.2352          |
| 0.2523        | 10.39 | 446000 | 0.2358          |
| 0.2521        | 10.41 | 447000 | 0.2341          |
| 0.2519        | 10.44 | 448000 | 0.2375          |
| 0.2519        | 10.46 | 449000 | 0.2350          |
| 0.2519        | 10.48 | 450000 | 0.2356          |
| 0.2518        | 10.51 | 451000 | 0.2345          |
| 0.252         | 10.53 | 452000 | 0.2365          |
| 0.2517        | 10.55 | 453000 | 0.2377          |
| 0.2516        | 10.58 | 454000 | 0.2362          |
| 0.2517        | 10.6  | 455000 | 0.2354          |
| 0.2515        | 10.62 | 456000 | 0.2340          |
| 0.2515        | 10.65 | 457000 | 0.2348          |
| 0.2517        | 10.67 | 458000 | 0.2370          |
| 0.2514        | 10.69 | 459000 | 0.2341          |
| 0.2514        | 10.72 | 460000 | 0.2361          |
| 0.2513        | 10.74 | 461000 | 0.2357          |
| 0.2516        | 10.76 | 462000 | 0.2352          |
| 0.2511        | 10.79 | 463000 | 0.2325          |
| 0.2515        | 10.81 | 464000 | 0.2364          |
| 0.2509        | 10.83 | 465000 | 0.2379          |
| 0.2511        | 10.86 | 466000 | 0.2361          |
| 0.2513        | 10.88 | 467000 | 0.2350          |
| 0.2509        | 10.9  | 468000 | 0.2350          |
| 0.2512        | 10.93 | 469000 | 0.2339          |
| 0.2508        | 10.95 | 470000 | 0.2333          |
| 0.2508        | 10.97 | 471000 | 0.2342          |
| 0.2508        | 11.0  | 472000 | 0.2346          |
| 0.2509        | 11.02 | 473000 | 0.2332          |
| 0.2506        | 11.04 | 474000 | 0.2351          |
| 0.2506        | 11.07 | 475000 | 0.2317          |
| 0.2508        | 11.09 | 476000 | 0.2339          |
| 0.2506        | 11.11 | 477000 | 0.2343          |
| 0.2506        | 11.14 | 478000 | 0.2336          |
| 0.2508        | 11.16 | 479000 | 0.2331          |
| 0.2507        | 11.18 | 480000 | 0.2337          |
| 0.2506        | 11.21 | 481000 | 0.2345          |
| 0.2505        | 11.23 | 482000 | 0.2329          |
| 0.2505        | 11.25 | 483000 | 0.2361          |
| 0.2505        | 11.28 | 484000 | 0.2341          |
| 0.2503        | 11.3  | 485000 | 0.2339          |
| 0.2505        | 11.32 | 486000 | 0.2341          |
| 0.2505        | 11.35 | 487000 | 0.2334          |
| 0.2504        | 11.37 | 488000 | 0.2337          |
| 0.2504        | 11.39 | 489000 | 0.2356          |
| 0.2506        | 11.42 | 490000 | 0.2319          |
| 0.2503        | 11.44 | 491000 | 0.2337          |
| 0.2501        | 11.46 | 492000 | 0.2318          |
| 0.2505        | 11.49 | 493000 | 0.2325          |
| 0.2504        | 11.51 | 494000 | 0.2338          |
| 0.2503        | 11.53 | 495000 | 0.2317          |
| 0.2502        | 11.56 | 496000 | 0.2340          |
| 0.25          | 11.58 | 497000 | 0.2341          |
| 0.2502        | 11.6  | 498000 | 0.2324          |
| 0.2504        | 11.63 | 499000 | 0.2360          |
| 0.2501        | 11.65 | 500000 | 0.2346          |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.11.0
- Datasets 2.5.0
- Tokenizers 0.12.1

{"tags": ["masked-auto-encoding", "generated_from_trainer"], "model-index": [{"name": "monospace-pixel-small", "results": []}]}
transformers pytorch pixel masked-auto-encoding generated_from_trainer endpoints_compatible region:us
TAGS
#transformers #pytorch #pixel #masked-auto-encoding #generated_from_trainer #endpoints_compatible #region-us 

monospace-pixel-small
=====================


This model is a fine-tuned version of [](URL on the wikipedia dataset.
It achieves the following results on the evaluation set:


* Loss: 0.2340


Model description
-----------------


More information needed


Intended uses & limitations
---------------------------


More information needed


Training and evaluation data
----------------------------


More information needed


Training procedure
------------------


### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0003
* train\_batch\_size: 64
* eval\_batch\_size: 8
* seed: 42
* distributed\_type: multi-GPU
* num\_devices: 8
* total\_train\_batch\_size: 512
* total\_eval\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_ratio: 0.05
* training\_steps: 500000


### Training results



### Framework versions


* Transformers 4.17.0
* Pytorch 1.11.0
* Datasets 2.5.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0003
* train\_batch\_size: 64
* eval\_batch\_size: 8
* seed: 42
* distributed\_type: multi-GPU
* num\_devices: 8
* total\_train\_batch\_size: 512
* total\_eval\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_ratio: 0.05
* training\_steps: 500000 ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.11.0
* Datasets 2.5.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #pixel #masked-auto-encoding #generated_from_trainer #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0003
* train\_batch\_size: 64
* eval\_batch\_size: 8
* seed: 42
* distributed\_type: multi-GPU
* num\_devices: 8
* total\_train\_batch\_size: 512
* total\_eval\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_ratio: 0.05
* training\_steps: 500000 ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.11.0
* Datasets 2.5.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #pixel #masked-auto-encoding #generated_from_trainer #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0003
* train\_batch\_size: 64
* eval\_batch\_size: 8
* seed: 42
* distributed\_type: multi-GPU
* num\_devices: 8
* total\_train\_batch\_size: 512
* total\_eval\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_ratio: 0.05
* training\_steps: 500000### Training results### Framework versions


* Transformers 4.17.0
* Pytorch 1.11.0
* Datasets 2.5.0
* Tokenizers 0.12.1