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# mini-1024

This model is a fine-tuned version of [chess-llama/config.json](https://huggingface.co/chess-llama/config.json) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4399
- Accuracy: 0.7228

## 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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 8326
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-06
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.1877        | 0.0   | 200   | 2.1894          | 0.5763   |
| 1.612         | 0.01  | 400   | 1.5928          | 0.6109   |
| 1.2645        | 0.01  | 600   | 1.2604          | 0.6379   |
| 1.0711        | 0.01  | 800   | 1.0720          | 0.6547   |
| 0.953         | 0.02  | 1000  | 0.9513          | 0.6628   |
| 0.9024        | 0.02  | 1200  | 0.8965          | 0.6678   |
| 0.8682        | 0.02  | 1400  | 0.8618          | 0.6712   |
| 0.8366        | 0.03  | 1600  | 0.8343          | 0.6741   |
| 0.8127        | 0.03  | 1800  | 0.8146          | 0.6763   |
| 0.7916        | 0.03  | 2000  | 0.7940          | 0.6784   |
| 0.781         | 0.04  | 2200  | 0.7815          | 0.6799   |
| 0.7647        | 0.04  | 2400  | 0.7692          | 0.6813   |
| 0.7617        | 0.04  | 2600  | 0.7589          | 0.6825   |
| 0.7523        | 0.05  | 2800  | 0.7466          | 0.6842   |
| 0.7394        | 0.05  | 3000  | 0.7373          | 0.6852   |
| 0.7297        | 0.05  | 3200  | 0.7279          | 0.6864   |
| 0.712         | 0.06  | 3400  | 0.7206          | 0.6871   |
| 0.716         | 0.06  | 3600  | 0.7120          | 0.6884   |
| 0.6994        | 0.06  | 3800  | 0.7044          | 0.6893   |
| 0.6885        | 0.07  | 4000  | 0.6969          | 0.6903   |
| 0.6887        | 0.07  | 4200  | 0.6916          | 0.6908   |
| 0.6812        | 0.07  | 4400  | 0.6840          | 0.6917   |
| 0.6799        | 0.08  | 4600  | 0.6774          | 0.6927   |
| 0.6672        | 0.08  | 4800  | 0.6718          | 0.6935   |
| 0.6658        | 0.08  | 5000  | 0.6653          | 0.6939   |
| 0.6455        | 0.09  | 5200  | 0.6609          | 0.6948   |
| 0.661         | 0.09  | 5400  | 0.6569          | 0.6953   |
| 0.648         | 0.09  | 5600  | 0.6505          | 0.6960   |
| 0.6453        | 0.1   | 5800  | 0.6458          | 0.6967   |
| 0.6374        | 0.1   | 6000  | 0.6407          | 0.6973   |
| 0.6351        | 0.1   | 6200  | 0.6363          | 0.6977   |
| 0.6273        | 0.11  | 6400  | 0.6328          | 0.6983   |
| 0.6234        | 0.11  | 6600  | 0.6292          | 0.6987   |
| 0.6204        | 0.12  | 6800  | 0.6247          | 0.6992   |
| 0.6179        | 0.12  | 7000  | 0.6217          | 0.6994   |
| 0.6122        | 0.12  | 7200  | 0.6169          | 0.7001   |
| 0.6096        | 0.13  | 7400  | 0.6132          | 0.7006   |
| 0.6046        | 0.13  | 7600  | 0.6101          | 0.7011   |
| 0.5997        | 0.13  | 7800  | 0.6072          | 0.7016   |
| 0.5988        | 0.14  | 8000  | 0.6047          | 0.7015   |
| 0.5995        | 0.14  | 8200  | 0.6011          | 0.7022   |
| 0.6017        | 0.14  | 8400  | 0.5985          | 0.7024   |
| 0.5962        | 0.15  | 8600  | 0.5944          | 0.7028   |
| 0.5857        | 0.15  | 8800  | 0.5919          | 0.7034   |
| 0.5829        | 0.15  | 9000  | 0.5903          | 0.7034   |
| 0.5862        | 0.16  | 9200  | 0.5856          | 0.7040   |
| 0.5786        | 0.16  | 9400  | 0.5834          | 0.7044   |
| 0.5785        | 0.16  | 9600  | 0.5813          | 0.7044   |
| 0.5819        | 0.17  | 9800  | 0.5788          | 0.7049   |
| 0.5804        | 0.17  | 10000 | 0.5768          | 0.7051   |
| 0.5755        | 0.17  | 10200 | 0.5748          | 0.7053   |
| 0.57          | 0.18  | 10400 | 0.5728          | 0.7057   |
| 0.567         | 0.18  | 10600 | 0.5699          | 0.7059   |
| 0.5629        | 0.18  | 10800 | 0.5672          | 0.7063   |
| 0.5615        | 0.19  | 11000 | 0.5648          | 0.7066   |
| 0.5628        | 0.19  | 11200 | 0.5633          | 0.7067   |
| 0.5628        | 0.19  | 11400 | 0.5610          | 0.7070   |
| 0.5551        | 0.2   | 11600 | 0.5588          | 0.7075   |
| 0.5572        | 0.2   | 11800 | 0.5558          | 0.7078   |
| 0.5543        | 0.2   | 12000 | 0.5559          | 0.7076   |
| 0.5512        | 0.21  | 12200 | 0.5536          | 0.7080   |
| 0.5491        | 0.21  | 12400 | 0.5517          | 0.7081   |
| 0.5455        | 0.21  | 12600 | 0.5494          | 0.7085   |
| 0.5494        | 0.22  | 12800 | 0.5480          | 0.7085   |
| 0.5438        | 0.22  | 13000 | 0.5461          | 0.7087   |
| 0.5492        | 0.22  | 13200 | 0.5449          | 0.7090   |
| 0.5385        | 0.23  | 13400 | 0.5432          | 0.7092   |
| 0.5399        | 0.23  | 13600 | 0.5411          | 0.7094   |
| 0.5416        | 0.23  | 13800 | 0.5406          | 0.7095   |
| 0.5316        | 0.24  | 14000 | 0.5379          | 0.7099   |
| 0.5305        | 0.24  | 14200 | 0.5367          | 0.7102   |
| 0.5349        | 0.24  | 14400 | 0.5337          | 0.7106   |
| 0.5313        | 0.25  | 14600 | 0.5329          | 0.7104   |
| 0.5336        | 0.25  | 14800 | 0.5324          | 0.7107   |
| 0.529         | 0.25  | 15000 | 0.5306          | 0.7107   |
| 0.5283        | 0.26  | 15200 | 0.5291          | 0.7109   |
| 0.5241        | 0.26  | 15400 | 0.5277          | 0.7111   |
| 0.5298        | 0.26  | 15600 | 0.5265          | 0.7113   |
| 0.5199        | 0.27  | 15800 | 0.5255          | 0.7113   |
| 0.5303        | 0.27  | 16000 | 0.5237          | 0.7116   |
| 0.5184        | 0.27  | 16200 | 0.5228          | 0.7118   |
| 0.5171        | 0.28  | 16400 | 0.5206          | 0.7122   |
| 0.525         | 0.28  | 16600 | 0.5205          | 0.7122   |
| 0.5191        | 0.28  | 16800 | 0.5191          | 0.7123   |
| 0.5161        | 0.29  | 17000 | 0.5182          | 0.7124   |
| 0.5205        | 0.29  | 17200 | 0.5160          | 0.7126   |
| 0.5157        | 0.29  | 17400 | 0.5156          | 0.7128   |
| 0.5071        | 0.3   | 17600 | 0.5140          | 0.7129   |
| 0.5151        | 0.3   | 17800 | 0.5129          | 0.7130   |
| 0.5127        | 0.3   | 18000 | 0.5124          | 0.7130   |
| 0.5098        | 0.31  | 18200 | 0.5112          | 0.7133   |
| 0.5099        | 0.31  | 18400 | 0.5104          | 0.7134   |
| 0.5056        | 0.31  | 18600 | 0.5084          | 0.7135   |
| 0.5093        | 0.32  | 18800 | 0.5078          | 0.7138   |
| 0.5033        | 0.32  | 19000 | 0.5069          | 0.7139   |
| 0.5013        | 0.32  | 19200 | 0.5063          | 0.7139   |
| 0.5087        | 0.33  | 19400 | 0.5049          | 0.7140   |
| 0.5041        | 0.33  | 19600 | 0.5037          | 0.7144   |
| 0.4994        | 0.34  | 19800 | 0.5035          | 0.7144   |
| 0.5025        | 0.34  | 20000 | 0.5027          | 0.7144   |
| 0.5005        | 0.34  | 20200 | 0.5020          | 0.7144   |
| 0.4972        | 0.35  | 20400 | 0.5012          | 0.7147   |
| 0.5047        | 0.35  | 20600 | 0.5005          | 0.7145   |
| 0.4986        | 0.35  | 20800 | 0.4995          | 0.7148   |
| 0.497         | 0.36  | 21000 | 0.4982          | 0.7150   |
| 0.4986        | 0.36  | 21200 | 0.4971          | 0.7151   |
| 0.4918        | 0.36  | 21400 | 0.4967          | 0.7152   |
| 0.5001        | 0.37  | 21600 | 0.4961          | 0.7153   |
| 0.4934        | 0.37  | 21800 | 0.4952          | 0.7154   |
| 0.4948        | 0.37  | 22000 | 0.4947          | 0.7155   |
| 0.4878        | 0.38  | 22200 | 0.4930          | 0.7157   |
| 0.4913        | 0.38  | 22400 | 0.4926          | 0.7157   |
| 0.487         | 0.38  | 22600 | 0.4921          | 0.7158   |
| 0.4919        | 0.39  | 22800 | 0.4913          | 0.7158   |
| 0.4904        | 0.39  | 23000 | 0.4907          | 0.7160   |
| 0.4863        | 0.39  | 23200 | 0.4903          | 0.7161   |
| 0.4858        | 0.4   | 23400 | 0.4896          | 0.7160   |
| 0.487         | 0.4   | 23600 | 0.4891          | 0.7163   |
| 0.4869        | 0.4   | 23800 | 0.4879          | 0.7163   |
| 0.4851        | 0.41  | 24000 | 0.4869          | 0.7164   |
| 0.4903        | 0.41  | 24200 | 0.4867          | 0.7164   |
| 0.4845        | 0.41  | 24400 | 0.4856          | 0.7166   |
| 0.4797        | 0.42  | 24600 | 0.4852          | 0.7168   |
| 0.4799        | 0.42  | 24800 | 0.4850          | 0.7168   |
| 0.4751        | 0.42  | 25000 | 0.4843          | 0.7168   |
| 0.4745        | 0.43  | 25200 | 0.4836          | 0.7170   |
| 0.4811        | 0.43  | 25400 | 0.4827          | 0.7170   |
| 0.4805        | 0.43  | 25600 | 0.4828          | 0.7171   |
| 0.483         | 0.44  | 25800 | 0.4821          | 0.7171   |
| 0.4825        | 0.44  | 26000 | 0.4815          | 0.7172   |
| 0.4749        | 0.44  | 26200 | 0.4803          | 0.7173   |
| 0.477         | 0.45  | 26400 | 0.4796          | 0.7174   |
| 0.476         | 0.45  | 26600 | 0.4792          | 0.7176   |
| 0.4776        | 0.45  | 26800 | 0.4790          | 0.7175   |
| 0.4811        | 0.46  | 27000 | 0.4780          | 0.7177   |
| 0.4761        | 0.46  | 27200 | 0.4776          | 0.7177   |
| 0.4727        | 0.46  | 27400 | 0.4771          | 0.7178   |
| 0.4737        | 0.47  | 27600 | 0.4761          | 0.7179   |
| 0.4722        | 0.47  | 27800 | 0.4760          | 0.7180   |
| 0.4713        | 0.47  | 28000 | 0.4753          | 0.7182   |
| 0.4711        | 0.48  | 28200 | 0.4747          | 0.7182   |
| 0.4738        | 0.48  | 28400 | 0.4750          | 0.7182   |
| 0.4764        | 0.48  | 28600 | 0.4738          | 0.7183   |
| 0.4725        | 0.49  | 28800 | 0.4727          | 0.7184   |
| 0.468         | 0.49  | 29000 | 0.4728          | 0.7184   |
| 0.4727        | 0.49  | 29200 | 0.4719          | 0.7185   |
| 0.4662        | 0.5   | 29400 | 0.4721          | 0.7186   |
| 0.4655        | 0.5   | 29600 | 0.4711          | 0.7186   |
| 0.4759        | 0.5   | 29800 | 0.4709          | 0.7187   |
| 0.4647        | 0.51  | 30000 | 0.4706          | 0.7187   |
| 0.4738        | 0.51  | 30200 | 0.4703          | 0.7187   |
| 0.4751        | 0.51  | 30400 | 0.4694          | 0.7190   |
| 0.4677        | 0.52  | 30600 | 0.4690          | 0.7189   |
| 0.4605        | 0.52  | 30800 | 0.4687          | 0.7189   |
| 0.466         | 0.52  | 31000 | 0.4686          | 0.7189   |
| 0.4626        | 0.53  | 31200 | 0.4678          | 0.7191   |
| 0.4616        | 0.53  | 31400 | 0.4672          | 0.7192   |
| 0.4698        | 0.53  | 31600 | 0.4665          | 0.7192   |
| 0.4599        | 0.54  | 31800 | 0.4664          | 0.7193   |
| 0.4618        | 0.54  | 32000 | 0.4660          | 0.7192   |
| 0.459         | 0.55  | 32200 | 0.4659          | 0.7192   |
| 0.4608        | 0.55  | 32400 | 0.4654          | 0.7194   |
| 0.4623        | 0.55  | 32600 | 0.4651          | 0.7194   |
| 0.4654        | 0.56  | 32800 | 0.4646          | 0.7196   |
| 0.4585        | 0.56  | 33000 | 0.4638          | 0.7195   |
| 0.4597        | 0.56  | 33200 | 0.4636          | 0.7196   |
| 0.4568        | 0.57  | 33400 | 0.4631          | 0.7198   |
| 0.4634        | 0.57  | 33600 | 0.4630          | 0.7197   |
| 0.4648        | 0.57  | 33800 | 0.4624          | 0.7197   |
| 0.4609        | 0.58  | 34000 | 0.4621          | 0.7198   |
| 0.4619        | 0.58  | 34200 | 0.4620          | 0.7197   |
| 0.4603        | 0.58  | 34400 | 0.4614          | 0.7199   |
| 0.4566        | 0.59  | 34600 | 0.4611          | 0.7199   |
| 0.4581        | 0.59  | 34800 | 0.4604          | 0.7201   |
| 0.4583        | 0.59  | 35000 | 0.4599          | 0.7202   |
| 0.4607        | 0.6   | 35200 | 0.4597          | 0.7202   |
| 0.4533        | 0.6   | 35400 | 0.4592          | 0.7202   |
| 0.4619        | 0.6   | 35600 | 0.4591          | 0.7202   |
| 0.46          | 0.61  | 35800 | 0.4585          | 0.7203   |
| 0.4516        | 0.61  | 36000 | 0.4582          | 0.7203   |
| 0.457         | 0.61  | 36200 | 0.4582          | 0.7203   |
| 0.4544        | 0.62  | 36400 | 0.4576          | 0.7204   |
| 0.4515        | 0.62  | 36600 | 0.4569          | 0.7205   |
| 0.4573        | 0.62  | 36800 | 0.4568          | 0.7206   |
| 0.4517        | 0.63  | 37000 | 0.4565          | 0.7206   |
| 0.4529        | 0.63  | 37200 | 0.4559          | 0.7207   |
| 0.4562        | 0.63  | 37400 | 0.4560          | 0.7207   |
| 0.4586        | 0.64  | 37600 | 0.4556          | 0.7207   |
| 0.4561        | 0.64  | 37800 | 0.4549          | 0.7208   |
| 0.4566        | 0.64  | 38000 | 0.4548          | 0.7207   |
| 0.4487        | 0.65  | 38200 | 0.4545          | 0.7207   |
| 0.452         | 0.65  | 38400 | 0.4542          | 0.7209   |
| 0.4529        | 0.65  | 38600 | 0.4540          | 0.7209   |
| 0.4473        | 0.66  | 38800 | 0.4542          | 0.7209   |
| 0.4479        | 0.66  | 39000 | 0.4533          | 0.7210   |
| 0.4494        | 0.66  | 39200 | 0.4530          | 0.7211   |
| 0.4502        | 0.67  | 39400 | 0.4527          | 0.7211   |
| 0.4496        | 0.67  | 39600 | 0.4523          | 0.7211   |
| 0.4492        | 0.67  | 39800 | 0.4520          | 0.7213   |
| 0.4491        | 0.68  | 40000 | 0.4518          | 0.7211   |
| 0.4499        | 0.68  | 40200 | 0.4514          | 0.7212   |
| 0.4477        | 0.68  | 40400 | 0.4514          | 0.7213   |
| 0.4448        | 0.69  | 40600 | 0.4511          | 0.7213   |
| 0.4526        | 0.69  | 40800 | 0.4506          | 0.7214   |
| 0.4425        | 0.69  | 41000 | 0.4504          | 0.7214   |
| 0.4506        | 0.7   | 41200 | 0.4501          | 0.7214   |
| 0.4492        | 0.7   | 41400 | 0.4498          | 0.7216   |
| 0.4481        | 0.7   | 41600 | 0.4495          | 0.7215   |
| 0.451         | 0.71  | 41800 | 0.4494          | 0.7216   |
| 0.4479        | 0.71  | 42000 | 0.4493          | 0.7215   |
| 0.4546        | 0.71  | 42200 | 0.4489          | 0.7216   |
| 0.4439        | 0.72  | 42400 | 0.4489          | 0.7217   |
| 0.4454        | 0.72  | 42600 | 0.4487          | 0.7217   |
| 0.4508        | 0.72  | 42800 | 0.4484          | 0.7217   |
| 0.448         | 0.73  | 43000 | 0.4483          | 0.7217   |
| 0.447         | 0.73  | 43200 | 0.4479          | 0.7217   |
| 0.4508        | 0.73  | 43400 | 0.4477          | 0.7217   |
| 0.4397        | 0.74  | 43600 | 0.4473          | 0.7218   |
| 0.4453        | 0.74  | 43800 | 0.4473          | 0.7219   |
| 0.4479        | 0.74  | 44000 | 0.4469          | 0.7219   |
| 0.4421        | 0.75  | 44200 | 0.4466          | 0.7220   |
| 0.4479        | 0.75  | 44400 | 0.4464          | 0.7220   |
| 0.4492        | 0.75  | 44600 | 0.4463          | 0.7220   |
| 0.4466        | 0.76  | 44800 | 0.4460          | 0.7221   |
| 0.4543        | 0.76  | 45000 | 0.4458          | 0.7221   |
| 0.4452        | 0.77  | 45200 | 0.4456          | 0.7221   |
| 0.4456        | 0.77  | 45400 | 0.4454          | 0.7221   |
| 0.4455        | 0.77  | 45600 | 0.4452          | 0.7221   |
| 0.4405        | 0.78  | 45800 | 0.4451          | 0.7221   |
| 0.4449        | 0.78  | 46000 | 0.4448          | 0.7223   |
| 0.4433        | 0.78  | 46200 | 0.4447          | 0.7223   |
| 0.445         | 0.79  | 46400 | 0.4447          | 0.7223   |
| 0.447         | 0.79  | 46600 | 0.4444          | 0.7223   |
| 0.4405        | 0.79  | 46800 | 0.4444          | 0.7222   |
| 0.4434        | 0.8   | 47000 | 0.4443          | 0.7222   |
| 0.4385        | 0.8   | 47200 | 0.4440          | 0.7223   |
| 0.442         | 0.8   | 47400 | 0.4439          | 0.7223   |
| 0.4402        | 0.81  | 47600 | 0.4437          | 0.7224   |
| 0.4368        | 0.81  | 47800 | 0.4437          | 0.7224   |
| 0.4392        | 0.81  | 48000 | 0.4435          | 0.7223   |
| 0.439         | 0.82  | 48200 | 0.4434          | 0.7225   |
| 0.4407        | 0.82  | 48400 | 0.4431          | 0.7225   |
| 0.4484        | 0.82  | 48600 | 0.4430          | 0.7225   |
| 0.4419        | 0.83  | 48800 | 0.4430          | 0.7224   |
| 0.4453        | 0.83  | 49000 | 0.4426          | 0.7225   |
| 0.4415        | 0.83  | 49200 | 0.4425          | 0.7225   |
| 0.4424        | 0.84  | 49400 | 0.4425          | 0.7225   |
| 0.4389        | 0.84  | 49600 | 0.4423          | 0.7226   |
| 0.4377        | 0.84  | 49800 | 0.4421          | 0.7226   |
| 0.4388        | 0.85  | 50000 | 0.4420          | 0.7227   |
| 0.4409        | 0.85  | 50200 | 0.4419          | 0.7225   |
| 0.442         | 0.85  | 50400 | 0.4417          | 0.7227   |
| 0.4371        | 0.86  | 50600 | 0.4417          | 0.7227   |
| 0.4384        | 0.86  | 50800 | 0.4415          | 0.7226   |
| 0.4402        | 0.86  | 51000 | 0.4415          | 0.7227   |
| 0.4375        | 0.87  | 51200 | 0.4414          | 0.7227   |
| 0.4367        | 0.87  | 51400 | 0.4413          | 0.7227   |
| 0.4447        | 0.87  | 51600 | 0.4412          | 0.7227   |
| 0.4434        | 0.88  | 51800 | 0.4411          | 0.7227   |
| 0.4357        | 0.88  | 52000 | 0.4411          | 0.7228   |
| 0.4404        | 0.88  | 52200 | 0.4410          | 0.7228   |
| 0.4369        | 0.89  | 52400 | 0.4409          | 0.7228   |
| 0.4348        | 0.89  | 52600 | 0.4409          | 0.7228   |
| 0.4394        | 0.89  | 52800 | 0.4408          | 0.7227   |
| 0.437         | 0.9   | 53000 | 0.4407          | 0.7227   |
| 0.438         | 0.9   | 53200 | 0.4407          | 0.7228   |
| 0.4421        | 0.9   | 53400 | 0.4406          | 0.7228   |
| 0.4421        | 0.91  | 53600 | 0.4405          | 0.7228   |
| 0.4361        | 0.91  | 53800 | 0.4405          | 0.7228   |
| 0.4367        | 0.91  | 54000 | 0.4404          | 0.7228   |
| 0.4371        | 0.92  | 54200 | 0.4403          | 0.7228   |
| 0.4349        | 0.92  | 54400 | 0.4403          | 0.7229   |
| 0.4432        | 0.92  | 54600 | 0.4403          | 0.7229   |
| 0.4355        | 0.93  | 54800 | 0.4402          | 0.7228   |
| 0.4402        | 0.93  | 55000 | 0.4402          | 0.7229   |
| 0.4403        | 0.93  | 55200 | 0.4401          | 0.7229   |
| 0.4445        | 0.94  | 55400 | 0.4401          | 0.7229   |
| 0.4336        | 0.94  | 55600 | 0.4401          | 0.7228   |
| 0.431         | 0.94  | 55800 | 0.4401          | 0.7229   |
| 0.4343        | 0.95  | 56000 | 0.4400          | 0.7229   |
| 0.4298        | 0.95  | 56200 | 0.4400          | 0.7229   |
| 0.43          | 0.95  | 56400 | 0.4400          | 0.7229   |
| 0.4446        | 0.96  | 56600 | 0.4400          | 0.7229   |
| 0.4417        | 0.96  | 56800 | 0.4400          | 0.7229   |
| 0.4431        | 0.96  | 57000 | 0.4400          | 0.7229   |
| 0.4353        | 0.97  | 57200 | 0.4399          | 0.7229   |
| 0.4351        | 0.97  | 57400 | 0.4399          | 0.7229   |
| 0.4398        | 0.97  | 57600 | 0.4399          | 0.7229   |
| 0.4368        | 0.98  | 57800 | 0.4399          | 0.7229   |
| 0.4379        | 0.98  | 58000 | 0.4399          | 0.7229   |
| 0.4353        | 0.99  | 58200 | 0.4399          | 0.7229   |
| 0.4397        | 0.99  | 58400 | 0.4399          | 0.7229   |
| 0.4401        | 0.99  | 58600 | 0.4399          | 0.7229   |
| 0.4366        | 1.0   | 58800 | 0.4399          | 0.7229   |
| 0.434         | 1.0   | 59000 | 0.4399          | 0.7228   |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "chess-llama/config.json", "model-index": [{"name": "mini-1024", "results": []}]}
transformers safetensors llama text-generation generated_from_trainer base_model:chess-llama/config.json autotrain_compatible endpoints_compatible text-generation-inference region:us