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--- |
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base_model: ybelkada/falcon-7b-sharded-bf16 |
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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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model-index: |
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- name: falcon-7b-sharded-bf16-finetuned-mental-health-hf-plus-dsm5mistral |
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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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# falcon-7b-sharded-bf16-finetuned-mental-health-hf-plus-dsm5mistral |
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This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6730 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.03 |
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- training_steps: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.6574 | 0.1003 | 10 | 1.7478 | |
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| 1.4519 | 0.2005 | 20 | 1.7755 | |
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| 1.5823 | 0.3008 | 30 | 1.7614 | |
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| 1.5633 | 0.4010 | 40 | 1.7620 | |
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| 1.3816 | 0.5013 | 50 | 2.0733 | |
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| 1.75 | 0.6015 | 60 | 1.7332 | |
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| 1.3408 | 0.7018 | 70 | 1.7491 | |
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| 1.6436 | 0.8020 | 80 | 1.7197 | |
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| 1.439 | 0.9023 | 90 | 1.7320 | |
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| 1.3755 | 1.0025 | 100 | 1.7057 | |
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| 1.5751 | 1.1028 | 110 | 1.7190 | |
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| 1.1649 | 1.2030 | 120 | 1.7603 | |
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| 1.481 | 1.3033 | 130 | 1.6892 | |
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| 1.2769 | 1.4035 | 140 | 1.6977 | |
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| 1.2564 | 1.5038 | 150 | 1.7133 | |
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| 1.4486 | 1.6040 | 160 | 1.6711 | |
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| 1.0868 | 1.7043 | 170 | 1.6710 | |
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| 1.4892 | 1.8045 | 180 | 1.6721 | |
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| 1.1903 | 1.9048 | 190 | 1.6727 | |
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| 1.1577 | 2.0050 | 200 | 1.6730 | |
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### Framework versions |
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- PEFT 0.13.1.dev0 |
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- Transformers 4.45.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
