transformers safetensors llama text-generation trl sft generated_from_trainer base_model:deepseek-ai/deepseek-math-7b-base license:other autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: other
base_model: deepseek-ai/deepseek-math-7b-base
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: albert-random-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# albert-random-3

This model is a fine-tuned version of [deepseek-ai/deepseek-math-7b-base](https://huggingface.co/deepseek-ai/deepseek-math-7b-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0375

## 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: 3e-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.802         | 0.01  | 1    | 0.4394          |
| 0.8           | 0.01  | 2    | 0.4325          |
| 0.7741        | 0.02  | 3    | 0.4256          |
| 0.7764        | 0.03  | 4    | 0.4207          |
| 0.756         | 0.03  | 5    | 0.4180          |
| 0.7324        | 0.04  | 6    | 0.4137          |
| 0.7399        | 0.04  | 7    | 0.4102          |
| 0.6939        | 0.05  | 8    | 0.4063          |
| 0.5255        | 0.06  | 9    | 0.4014          |
| 0.522         | 0.06  | 10   | 0.4000          |
| 0.5147        | 0.07  | 11   | 0.3937          |
| 0.5088        | 0.08  | 12   | 0.3893          |
| 0.5033        | 0.08  | 13   | 0.3856          |
| 0.5035        | 0.09  | 14   | 0.3826          |
| 0.494         | 0.1   | 15   | 0.3783          |
| 0.4919        | 0.1   | 16   | 0.3748          |
| 0.49          | 0.11  | 17   | 0.3721          |
| 0.4856        | 0.12  | 18   | 0.3673          |
| 0.4726        | 0.12  | 19   | 0.3653          |
| 0.47          | 0.13  | 20   | 0.3611          |
| 0.4539        | 0.13  | 21   | 0.3561          |
| 0.4553        | 0.14  | 22   | 0.3524          |
| 0.4529        | 0.15  | 23   | 0.3486          |
| 0.3904        | 0.15  | 24   | 0.3453          |
| 0.3481        | 0.16  | 25   | 0.3412          |
| 0.3392        | 0.17  | 26   | 0.3377          |
| 0.3384        | 0.17  | 27   | 0.3330          |
| 0.3353        | 0.18  | 28   | 0.3303          |
| 0.3278        | 0.19  | 29   | 0.3266          |
| 0.3286        | 0.19  | 30   | 0.3230          |
| 0.3197        | 0.2   | 31   | 0.3201          |
| 0.3173        | 0.2   | 32   | 0.3161          |
| 0.3058        | 0.21  | 33   | 0.3131          |
| 0.3183        | 0.22  | 34   | 0.3081          |
| 0.3043        | 0.22  | 35   | 0.3043          |
| 0.3051        | 0.23  | 36   | 0.2996          |
| 0.2966        | 0.24  | 37   | 0.2979          |
| 0.2995        | 0.24  | 38   | 0.2936          |
| 0.2929        | 0.25  | 39   | 0.2896          |
| 0.2434        | 0.26  | 40   | 0.2858          |
| 0.24          | 0.26  | 41   | 0.2817          |
| 0.2339        | 0.27  | 42   | 0.2777          |
| 0.2353        | 0.28  | 43   | 0.2750          |
| 0.2355        | 0.28  | 44   | 0.2724          |
| 0.2285        | 0.29  | 45   | 0.2666          |
| 0.2264        | 0.29  | 46   | 0.2631          |
| 0.2215        | 0.3   | 47   | 0.2578          |
| 0.2151        | 0.31  | 48   | 0.2542          |
| 0.2178        | 0.31  | 49   | 0.2502          |
| 0.2139        | 0.32  | 50   | 0.2461          |
| 0.2028        | 0.33  | 51   | 0.2416          |
| 0.2046        | 0.33  | 52   | 0.2372          |
| 0.2071        | 0.34  | 53   | 0.2326          |
| 0.1921        | 0.35  | 54   | 0.2287          |
| 0.1912        | 0.35  | 55   | 0.2238          |
| 0.1724        | 0.36  | 56   | 0.2182          |
| 0.1675        | 0.36  | 57   | 0.2147          |
| 0.1653        | 0.37  | 58   | 0.2105          |
| 0.1585        | 0.38  | 59   | 0.2047          |
| 0.1546        | 0.38  | 60   | 0.2013          |
| 0.1507        | 0.39  | 61   | 0.1966          |
| 0.1552        | 0.4   | 62   | 0.1923          |
| 0.1417        | 0.4   | 63   | 0.1876          |
| 0.142         | 0.41  | 64   | 0.1831          |
| 0.1387        | 0.42  | 65   | 0.1788          |
| 0.1315        | 0.42  | 66   | 0.1735          |
| 0.1358        | 0.43  | 67   | 0.1693          |
| 0.1312        | 0.44  | 68   | 0.1637          |
| 0.1305        | 0.44  | 69   | 0.1596          |
| 0.1269        | 0.45  | 70   | 0.1551          |
| 0.1278        | 0.45  | 71   | 0.1498          |
| 0.1193        | 0.46  | 72   | 0.1451          |
| 0.1175        | 0.47  | 73   | 0.1392          |
| 0.1132        | 0.47  | 74   | 0.1351          |
| 0.1098        | 0.48  | 75   | 0.1298          |
| 0.1092        | 0.49  | 76   | 0.1254          |
| 0.0992        | 0.49  | 77   | 0.1197          |
| 0.1           | 0.5   | 78   | 0.1142          |
| 0.0929        | 0.51  | 79   | 0.1090          |
| 0.0875        | 0.51  | 80   | 0.1048          |
| 0.091         | 0.52  | 81   | 0.1006          |
| 0.083         | 0.52  | 82   | 0.0963          |
| 0.0814        | 0.53  | 83   | 0.0921          |
| 0.0818        | 0.54  | 84   | 0.0895          |
| 0.0748        | 0.54  | 85   | 0.0869          |
| 0.0758        | 0.55  | 86   | 0.0843          |
| 0.0779        | 0.56  | 87   | 0.0817          |
| 0.081         | 0.56  | 88   | 0.0797          |
| 0.0706        | 0.57  | 89   | 0.0778          |
| 0.0607        | 0.58  | 90   | 0.0762          |
| 0.0642        | 0.58  | 91   | 0.0744          |
| 0.0649        | 0.59  | 92   | 0.0729          |
| 0.0631        | 0.6   | 93   | 0.0719          |
| 0.0594        | 0.6   | 94   | 0.0698          |
| 0.0578        | 0.61  | 95   | 0.0692          |
| 0.0616        | 0.61  | 96   | 0.0680          |
| 0.0567        | 0.62  | 97   | 0.0669          |
| 0.0558        | 0.63  | 98   | 0.0655          |
| 0.0536        | 0.63  | 99   | 0.0642          |
| 0.0551        | 0.64  | 100  | 0.0639          |
| 0.0509        | 0.65  | 101  | 0.0627          |
| 0.06          | 0.65  | 102  | 0.0616          |
| 0.053         | 0.66  | 103  | 0.0608          |
| 0.0587        | 0.67  | 104  | 0.0612          |
| 0.0509        | 0.67  | 105  | 0.0592          |
| 0.0489        | 0.68  | 106  | 0.0584          |
| 0.0515        | 0.68  | 107  | 0.0579          |
| 0.0515        | 0.69  | 108  | 0.0564          |
| 0.0485        | 0.7   | 109  | 0.0558          |
| 0.0496        | 0.7   | 110  | 0.0544          |
| 0.0471        | 0.71  | 111  | 0.0534          |
| 0.0514        | 0.72  | 112  | 0.0524          |
| 0.0458        | 0.72  | 113  | 0.0522          |
| 0.0454        | 0.73  | 114  | 0.0515          |
| 0.0435        | 0.74  | 115  | 0.0511          |
| 0.0475        | 0.74  | 116  | 0.0503          |
| 0.0506        | 0.75  | 117  | 0.0497          |
| 0.0452        | 0.76  | 118  | 0.0492          |
| 0.0468        | 0.76  | 119  | 0.0488          |
| 0.0446        | 0.77  | 120  | 0.0487          |
| 0.0419        | 0.77  | 121  | 0.0481          |
| 0.0414        | 0.78  | 122  | 0.0477          |
| 0.0424        | 0.79  | 123  | 0.0467          |
| 0.044         | 0.79  | 124  | 0.0465          |
| 0.0413        | 0.8   | 125  | 0.0460          |
| 0.0439        | 0.81  | 126  | 0.0455          |
| 0.0391        | 0.81  | 127  | 0.0453          |
| 0.0407        | 0.82  | 128  | 0.0451          |
| 0.0357        | 0.83  | 129  | 0.0446          |
| 0.0387        | 0.83  | 130  | 0.0443          |
| 0.0411        | 0.84  | 131  | 0.0442          |
| 0.0396        | 0.84  | 132  | 0.0438          |
| 0.039         | 0.85  | 133  | 0.0435          |
| 0.0427        | 0.86  | 134  | 0.0432          |
| 0.0417        | 0.86  | 135  | 0.0427          |
| 0.035         | 0.87  | 136  | 0.0425          |
| 0.036         | 0.88  | 137  | 0.0425          |
| 0.0391        | 0.88  | 138  | 0.0419          |
| 0.0389        | 0.89  | 139  | 0.0414          |
| 0.042         | 0.9   | 140  | 0.0413          |
| 0.0368        | 0.9   | 141  | 0.0415          |
| 0.0336        | 0.91  | 142  | 0.0406          |
| 0.0356        | 0.92  | 143  | 0.0405          |
| 0.0349        | 0.92  | 144  | 0.0400          |
| 0.04          | 0.93  | 145  | 0.0401          |
| 0.0398        | 0.93  | 146  | 0.0397          |
| 0.0333        | 0.94  | 147  | 0.0398          |
| 0.0344        | 0.95  | 148  | 0.0390          |
| 0.037         | 0.95  | 149  | 0.0396          |
| 0.0327        | 0.96  | 150  | 0.0382          |
| 0.0336        | 0.97  | 151  | 0.0383          |
| 0.0342        | 0.97  | 152  | 0.0378          |
| 0.0348        | 0.98  | 153  | 0.0373          |
| 0.0368        | 0.99  | 154  | 0.0380          |
| 0.0333        | 0.99  | 155  | 0.0376          |
| 0.0344        | 1.0   | 156  | 0.0375          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0a0+32f93b1
- Datasets 2.17.1
- Tokenizers 0.15.2
