bloom-560m-finetuned-aeslc
This model is a fine-tuned version of bigscience/bloom-560m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4199
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-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.994 | 0.62 | 200 | 3.0855 |
| 2.4454 | 1.23 | 400 | 3.0508 |
| 2.3019 | 1.85 | 600 | 2.9731 |
| 1.7647 | 2.46 | 800 | 3.1036 |
| 1.636 | 3.08 | 1000 | 3.4199 |
| 1.2469 | 3.69 | 1200 | 3.5381 |
| 0.8443 | 4.31 | 1400 | 4.0697 |
| 0.8214 | 4.92 | 1600 | 4.0181 |
| 0.5355 | 5.54 | 1800 | 4.7636 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
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