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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: falcon-7b-ft-codeAlpaca_20k |
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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-ft-codeAlpaca_20k |
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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: 0.7470 |
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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: 64 |
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- eval_batch_size: 64 |
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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_ratio: 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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| 0.7623 | 0.18 | 50 | 0.7899 | |
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| 0.7985 | 0.35 | 100 | 0.7680 | |
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| 0.7551 | 0.53 | 150 | 0.7570 | |
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| 0.7261 | 0.71 | 200 | 0.7499 | |
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| 0.8184 | 0.89 | 250 | 0.7461 | |
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| 0.7067 | 1.06 | 300 | 0.7480 | |
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| 0.6801 | 1.24 | 350 | 0.7463 | |
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| 0.6432 | 1.42 | 400 | 0.7423 | |
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| 0.7141 | 1.6 | 450 | 0.7398 | |
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| 0.669 | 1.77 | 500 | 0.7383 | |
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| 0.7177 | 1.95 | 550 | 0.7342 | |
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| 0.6419 | 2.13 | 600 | 0.7553 | |
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| 0.6395 | 2.3 | 650 | 0.7510 | |
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| 0.6255 | 2.48 | 700 | 0.7498 | |
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| 0.5556 | 2.66 | 750 | 0.7474 | |
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| 0.6592 | 2.84 | 800 | 0.7470 | |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.0 |
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- Tokenizers 0.13.3 |
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