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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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datasets: |
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- generator |
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base_model: mistralai/Mixtral-8x7B-v0.1 |
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model-index: |
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- name: Project5_V3_Mistral8x7b_V2.2.5 |
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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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# Project5_V3_Mistral8x7b_V2.2.5 |
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This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2430 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 128 |
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- total_train_batch_size: 256 |
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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: 40 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 0.63 | 1 | 2.3024 | |
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| No log | 1.88 | 3 | 2.2997 | |
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| No log | 2.51 | 4 | 2.2977 | |
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| 2.2951 | 3.76 | 6 | 2.2935 | |
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| 2.2951 | 4.39 | 7 | 2.2905 | |
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| 2.2951 | 5.65 | 9 | 2.2853 | |
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| 2.2845 | 6.9 | 11 | 2.2789 | |
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| 2.2845 | 7.53 | 12 | 2.2757 | |
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| 2.2845 | 8.78 | 14 | 2.2696 | |
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| 2.2729 | 9.41 | 15 | 2.2667 | |
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| 2.2729 | 10.67 | 17 | 2.2619 | |
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| 2.2729 | 11.92 | 19 | 2.2576 | |
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| 2.2599 | 12.55 | 20 | 2.2555 | |
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| 2.2599 | 13.8 | 22 | 2.2519 | |
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| 2.2599 | 14.43 | 23 | 2.2504 | |
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| 2.2523 | 15.69 | 25 | 2.2479 | |
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| 2.2523 | 16.94 | 27 | 2.2462 | |
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| 2.2523 | 17.57 | 28 | 2.2454 | |
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| 2.2471 | 18.82 | 30 | 2.2442 | |
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| 2.2471 | 19.45 | 31 | 2.2437 | |
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| 2.2471 | 20.71 | 33 | 2.2432 | |
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| 2.2444 | 21.96 | 35 | 2.2427 | |
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| 2.2444 | 22.59 | 36 | 2.2428 | |
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| 2.2444 | 23.84 | 38 | 2.2429 | |
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| 2.2444 | 24.47 | 39 | 2.2429 | |
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| 2.2427 | 25.1 | 40 | 2.2430 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
