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--- |
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base_model: HachiML/Mists-7B-v01-not-trained |
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license: apache-2.0 |
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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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model-index: |
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- name: Mists-7B-v01-projector-trained |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/siseikatu8/huggingface/runs/2vf2q5nm) |
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# Mists-7B-v01-projector-trained |
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This model is a fine-tuned version of [HachiML/Mists-7B-v01-not-trained](https://huggingface.co/HachiML/Mists-7B-v01-not-trained) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5989 |
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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: 0.002 |
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- train_batch_size: 4 |
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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: linear |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 0.8704 | 0.0526 | 2000 | 0.7797 | |
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| 0.7321 | 0.1051 | 4000 | 0.7205 | |
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| 0.7002 | 0.1577 | 6000 | 0.6992 | |
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| 0.6735 | 0.2102 | 8000 | 0.6755 | |
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| 0.6644 | 0.2628 | 10000 | 0.6625 | |
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| 0.6562 | 0.3153 | 12000 | 0.6539 | |
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| 0.6512 | 0.3679 | 14000 | 0.6473 | |
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| 0.638 | 0.4205 | 16000 | 0.6394 | |
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| 0.6266 | 0.4730 | 18000 | 0.6325 | |
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| 0.627 | 0.5256 | 20000 | 0.6278 | |
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| 0.6215 | 0.5781 | 22000 | 0.6241 | |
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| 0.6192 | 0.6307 | 24000 | 0.6199 | |
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| 0.6127 | 0.6832 | 26000 | 0.6163 | |
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| 0.6121 | 0.7358 | 28000 | 0.6131 | |
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| 0.6078 | 0.7884 | 30000 | 0.6089 | |
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| 0.5986 | 0.8409 | 32000 | 0.6058 | |
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| 0.6011 | 0.8935 | 34000 | 0.6027 | |
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| 0.5934 | 0.9460 | 36000 | 0.6005 | |
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| 0.589 | 0.9986 | 38000 | 0.5989 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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