BLOOM_VI
This model is a fine-tuned version of bigscience/bloomz-7b1-mt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2309
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3278 | 0.51 | 200 | 1.3118 |
| 1.2775 | 1.03 | 400 | 1.2715 |
| 1.2464 | 1.54 | 600 | 1.2517 |
| 1.2231 | 2.05 | 800 | 1.2390 |
| 1.2162 | 2.56 | 1000 | 1.2309 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
Inference Providers
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Model tree for xieyang233/BLOOM_VI
Base model
bigscience/bloomz-7b1-mt