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webcraft_falcon
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: 0.7024
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 320
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1409 | 0.19 | 20 | 1.1040 |
| 1.0692 | 0.38 | 40 | 0.9462 |
| 0.968 | 0.57 | 60 | 0.8406 |
| 0.6599 | 0.75 | 80 | 0.7712 |
| 0.7967 | 0.94 | 100 | 0.7678 |
| 0.5992 | 1.13 | 120 | 0.7373 |
| 0.5424 | 1.32 | 140 | 0.7241 |
| 0.5073 | 1.51 | 160 | 0.6995 |
| 0.5786 | 1.7 | 180 | 0.6978 |
| 0.6064 | 1.89 | 200 | 0.6954 |
| 0.4634 | 2.08 | 220 | 0.7070 |
| 0.4737 | 2.26 | 240 | 0.7020 |
| 0.4967 | 2.45 | 260 | 0.7024 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for ArthurLe/webcraft_falcon
Base model
ybelkada/falcon-7b-sharded-bf16