bloom-560m-finetuned-common_gen
This model is a fine-tuned version of bigscience/bloom-560m on the common_gen dataset. It achieves the following results on the evaluation set:
- Loss: 1.3937
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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4819 | 0.38 | 100 | 1.4582 |
| 1.2451 | 0.76 | 200 | 1.4247 |
| 1.1016 | 1.14 | 300 | 1.4382 |
| 0.9724 | 1.53 | 400 | 1.4207 |
| 0.9396 | 1.91 | 500 | 1.3949 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1