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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: cognitivecomputations/dolphin-2.2.1-mistral-7b |
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model-index: |
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- name: chain-texts-0.1-dolphin-mixtral-8x7b |
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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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# chain-texts-0.1-dolphin-mixtral-8x7b |
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This model is a fine-tuned version of [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6571 |
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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: 0.0002 |
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- train_batch_size: 3 |
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- eval_batch_size: 8 |
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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: constant |
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- lr_scheduler_warmup_steps: 0.03 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.8452 | 0.1887 | 20 | 1.8520 | |
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| 1.6519 | 0.3774 | 40 | 1.7660 | |
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| 1.6726 | 0.5660 | 60 | 1.7475 | |
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| 1.6545 | 0.7547 | 80 | 1.7325 | |
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| 1.7688 | 0.9434 | 100 | 1.7146 | |
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| 1.7037 | 1.1321 | 120 | 1.7112 | |
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| 1.5269 | 1.3208 | 140 | 1.6965 | |
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| 1.4638 | 1.5094 | 160 | 1.6875 | |
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| 1.647 | 1.6981 | 180 | 1.6847 | |
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| 1.5333 | 1.8868 | 200 | 1.6772 | |
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| 1.5194 | 2.0755 | 220 | 1.6854 | |
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| 1.5149 | 2.2642 | 240 | 1.6847 | |
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| 1.3981 | 2.4528 | 260 | 1.6653 | |
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| 1.4842 | 2.6415 | 280 | 1.6612 | |
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| 1.4262 | 2.8302 | 300 | 1.6571 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
