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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: mistralai/Mistral-7B-v0.1 |
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model-index: |
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- name: lc_reddit |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# lc_reddit |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4421 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.893 | 1.0 | 306 | 1.8913 | |
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| 2.0254 | 2.0 | 612 | 1.8820 | |
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| 1.7988 | 3.0 | 918 | 1.8821 | |
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| 1.6315 | 4.0 | 1224 | 1.8907 | |
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| 1.6124 | 5.0 | 1530 | 1.9035 | |
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| 1.7146 | 6.0 | 1836 | 1.9222 | |
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| 1.5807 | 7.0 | 2142 | 1.9383 | |
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| 1.4356 | 8.0 | 2448 | 1.9796 | |
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| 1.4935 | 9.0 | 2754 | 1.9838 | |
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| 1.3923 | 10.0 | 3060 | 2.0112 | |
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| 1.5712 | 11.0 | 3366 | 2.0217 | |
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| 1.5216 | 12.0 | 3672 | 2.0493 | |
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| 1.2513 | 13.0 | 3978 | 2.0731 | |
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| 1.2956 | 14.0 | 4284 | 2.1151 | |
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| 1.5635 | 15.0 | 4590 | 2.1298 | |
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| 1.4956 | 16.0 | 4896 | 2.1525 | |
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| 1.3592 | 17.0 | 5202 | 2.1751 | |
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| 1.1305 | 18.0 | 5508 | 2.1893 | |
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| 1.1396 | 19.0 | 5814 | 2.2454 | |
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| 1.3858 | 20.0 | 6120 | 2.2797 | |
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| 1.3174 | 21.0 | 6426 | 2.2689 | |
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| 1.5609 | 22.0 | 6732 | 2.3098 | |
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| 1.3431 | 23.0 | 7038 | 2.3238 | |
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| 1.3111 | 24.0 | 7344 | 2.3742 | |
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| 1.1365 | 25.0 | 7650 | 2.3727 | |
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| 1.3318 | 26.0 | 7956 | 2.3978 | |
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| 1.3297 | 27.0 | 8262 | 2.3647 | |
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| 1.2178 | 28.0 | 8568 | 2.3971 | |
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| 1.2757 | 29.0 | 8874 | 2.4292 | |
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| 1.236 | 30.0 | 9180 | 2.4170 | |
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| 1.1888 | 31.0 | 9486 | 2.4439 | |
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| 1.0917 | 32.0 | 9792 | 2.4225 | |
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| 1.1148 | 33.0 | 10098 | 2.4166 | |
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| 1.1907 | 34.0 | 10404 | 2.4318 | |
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| 1.1906 | 35.0 | 10710 | 2.4352 | |
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| 1.2238 | 36.0 | 11016 | 2.4471 | |
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| 1.1596 | 37.0 | 11322 | 2.4382 | |
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| 1.2184 | 38.0 | 11628 | 2.4343 | |
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| 1.2428 | 39.0 | 11934 | 2.4422 | |
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| 1.3111 | 40.0 | 12240 | 2.4397 | |
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| 1.2845 | 41.0 | 12546 | 2.4460 | |
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| 1.3173 | 42.0 | 12852 | 2.4428 | |
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| 1.193 | 43.0 | 13158 | 2.4430 | |
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| 1.1774 | 44.0 | 13464 | 2.4425 | |
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| 1.1868 | 45.0 | 13770 | 2.4396 | |
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| 1.2042 | 46.0 | 14076 | 2.4430 | |
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| 1.2833 | 47.0 | 14382 | 2.4398 | |
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| 1.2766 | 48.0 | 14688 | 2.4410 | |
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| 1.4958 | 49.0 | 14994 | 2.4412 | |
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| 1.1868 | 50.0 | 15300 | 2.4421 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
