bloom560m-finetuned-pdf
This model is a fine-tuned version of bigscience/bloom-3b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2944
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: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8015 | 0.89 | 400 | 3.2172 |
| 2.5565 | 1.77 | 800 | 3.2420 |
| 2.3949 | 2.66 | 1200 | 3.2944 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.1.0.dev20230429+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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