finetuned-bloomz
This model is a fine-tuned version of bigscience/bloomz-1b7 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4329
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1 | 2.4638 |
| No log | 2.0 | 2 | 2.4631 |
| No log | 3.0 | 3 | 2.4617 |
| No log | 4.0 | 4 | 2.4597 |
| 1.4351 | 5.0 | 5 | 2.4569 |
| 1.4351 | 6.0 | 6 | 2.4535 |
| 1.4351 | 7.0 | 7 | 2.4493 |
| 1.4351 | 8.0 | 8 | 2.4445 |
| 1.4351 | 9.0 | 9 | 2.4390 |
| 1.4306 | 10.0 | 10 | 2.4329 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.2
- Pytorch 2.4.1+cpu
- Datasets 2.12.0
- Tokenizers 0.20.0
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Model tree for khurrameycon/finetuned-bloomz
Base model
bigscience/bloomz-1b7