647c7142-98b0-4b10-bafb-8acefc031f67
This model is a fine-tuned version of bigscience/bloomz-560m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3558
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: 0.000211
- train_batch_size: 4
- eval_batch_size: 4
- seed: 110
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0000 | 1 | 2.8594 |
| 5.1311 | 0.0008 | 50 | 2.5331 |
| 4.7367 | 0.0017 | 100 | 2.4846 |
| 4.7699 | 0.0025 | 150 | 2.4510 |
| 4.7144 | 0.0033 | 200 | 2.4281 |
| 4.5266 | 0.0041 | 250 | 2.4051 |
| 4.5106 | 0.0050 | 300 | 2.3893 |
| 4.4184 | 0.0058 | 350 | 2.3701 |
| 4.6891 | 0.0066 | 400 | 2.3607 |
| 4.5399 | 0.0075 | 450 | 2.3567 |
| 4.5752 | 0.0083 | 500 | 2.3558 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Downloads last month
- 1
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.
Model tree for lesso11/647c7142-98b0-4b10-bafb-8acefc031f67
Base model
bigscience/bloomz-560m