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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-simple-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/eazfub66) |
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# Mists-7B-v01-simple-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: 0.0152 |
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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: 32 |
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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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| 0.3727 | 0.0444 | 100 | 0.0301 | |
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| 0.0274 | 0.0888 | 200 | 0.0243 | |
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| 0.0615 | 0.1332 | 300 | 0.0382 | |
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| 0.0367 | 0.1776 | 400 | 0.0325 | |
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| 0.0327 | 0.2220 | 500 | 0.0304 | |
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| 0.0304 | 0.2664 | 600 | 0.0243 | |
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| 0.0242 | 0.3108 | 700 | 0.0216 | |
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| 0.0236 | 0.3552 | 800 | 0.0214 | |
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| 0.0226 | 0.3996 | 900 | 0.0188 | |
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| 0.0206 | 0.4440 | 1000 | 0.0181 | |
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| 0.0197 | 0.4885 | 1100 | 0.0188 | |
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| 0.0192 | 0.5329 | 1200 | 0.0175 | |
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| 0.019 | 0.5773 | 1300 | 0.0171 | |
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| 0.018 | 0.6217 | 1400 | 0.0166 | |
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| 0.0173 | 0.6661 | 1500 | 0.0169 | |
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| 0.017 | 0.7105 | 1600 | 0.0163 | |
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| 0.0172 | 0.7549 | 1700 | 0.0164 | |
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| 0.0186 | 0.7993 | 1800 | 0.0161 | |
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| 0.0168 | 0.8437 | 1900 | 0.0167 | |
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| 0.0161 | 0.8881 | 2000 | 0.0163 | |
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| 0.0157 | 0.9325 | 2100 | 0.0156 | |
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| 0.016 | 0.9769 | 2200 | 0.0152 | |
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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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