bloom-1b1-finetuned-tfmviu
This model is a fine-tuned version of bigscience/bloom-1b1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5185
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| No log | 1.0 | 222 | 3.1300 |
| No log | 2.0 | 444 | 3.2264 |
| 2.3093 | 3.0 | 666 | 3.5185 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Base model
bigscience/bloom-1b1