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falcon-7b-ft-codeAlpaca_20k-v2
mrm8488/falcon-7b-ft-codeAlpaca_20k-v2
falcon-7b-ft-codeAlpaca_20k-v2 is a machine learning model from mrm8488. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jun 19, 2023
Repo size
523 MB
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At a glance
- Access
- Public
- Created
- Jun 19, 2023
- Updated
- Jun 19, 2023
- SHA
- f02d5638
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
falcon-7b-ft-codeAlpaca_20k-v2
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7367
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 550
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7985 | 0.35 | 100 | 0.7680 |
| 0.7259 | 0.71 | 200 | 0.7499 |
| 0.6691 | 1.06 | 300 | 0.7480 |
| 0.6873 | 1.42 | 400 | 0.7423 |
| 0.5799 | 1.77 | 500 | 0.7367 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
- Created
- Jun 19, 2023
- Updated
- Jun 19, 2023