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--- |
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base_model: teknium/OpenHermes-2.5-Mistral-7B |
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library_name: peft |
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license: apache-2.0 |
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pipeline_tag: text2text-generation |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: open-hermes-erotic-story-finetune |
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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/timur-yarullov-tune/erotic-story-finetune/runs/wjag882u) |
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# open-hermes-erotic-story-finetune |
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This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1465 |
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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: 2.5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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_steps: 5 |
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- training_steps: 1500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.1158 | 0.1056 | 50 | 0.2470 | |
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| 0.2078 | 0.2112 | 100 | 0.1934 | |
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| 0.1866 | 0.3168 | 150 | 0.1867 | |
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| 0.1804 | 0.4224 | 200 | 0.1719 | |
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| 0.158 | 0.5280 | 250 | 0.1515 | |
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| 0.15 | 0.6336 | 300 | 0.1507 | |
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| 0.1489 | 0.7392 | 350 | 0.1499 | |
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| 0.1464 | 0.8448 | 400 | 0.1494 | |
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| 0.1485 | 0.9504 | 450 | 0.1487 | |
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| 0.1485 | 1.0560 | 500 | 0.1485 | |
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| 0.1459 | 1.1616 | 550 | 0.1484 | |
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| 0.1444 | 1.2672 | 600 | 0.1481 | |
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| 0.1469 | 1.3728 | 650 | 0.1477 | |
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| 0.148 | 1.4784 | 700 | 0.1477 | |
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| 0.1438 | 1.5839 | 750 | 0.1475 | |
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| 0.1454 | 1.6895 | 800 | 0.1472 | |
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| 0.149 | 1.7951 | 850 | 0.1471 | |
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| 0.1395 | 1.9007 | 900 | 0.1469 | |
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| 0.1416 | 2.0063 | 950 | 0.1468 | |
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| 0.1443 | 2.1119 | 1000 | 0.1468 | |
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| 0.1445 | 2.2175 | 1050 | 0.1467 | |
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| 0.143 | 2.3231 | 1100 | 0.1468 | |
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| 0.1416 | 2.4287 | 1150 | 0.1468 | |
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| 0.1418 | 2.5343 | 1200 | 0.1466 | |
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| 0.1384 | 2.6399 | 1250 | 0.1466 | |
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| 0.1382 | 2.7455 | 1300 | 0.1466 | |
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| 0.1423 | 2.8511 | 1350 | 0.1466 | |
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| 0.1414 | 2.9567 | 1400 | 0.1465 | |
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| 0.1398 | 3.0623 | 1450 | 0.1465 | |
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| 0.136 | 3.1679 | 1500 | 0.1465 | |
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### Framework versions |
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- PEFT 0.11.2.dev0 |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
