finetuned_bloom_trained_model_bangladataset
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: 2.8031
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|---|---|---|---|
| 2.7731 | 1.0 | 10044 | 2.7881 |
| 2.4222 | 2.0 | 20088 | 2.7370 |
| 2.1122 | 3.0 | 30132 | 2.8031 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.14.0
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Model tree for hasibul1ah/finetuned_bloom_trained_model_bangladataset
Base model
bigscience/bloom-560m