metadata
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: rationale_model_e3_save5000_rp
results: []
rationale_model_e3_save5000_rp
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2603
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: 0.0001
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.966 | 0.1908 | 1000 | 2.2603 |
| 1.3866 | 0.3815 | 2000 | 2.4390 |
| 0.8202 | 0.5723 | 3000 | 2.6035 |
| 0.497 | 0.7631 | 4000 | 2.8871 |
| 0.3141 | 0.9538 | 5000 | 3.1623 |
| 0.2115 | 1.1446 | 6000 | 3.3478 |
| 0.1859 | 1.3354 | 7000 | 3.4553 |
| 0.159 | 1.5261 | 8000 | 3.5514 |
| 0.1431 | 1.7169 | 9000 | 3.6509 |
| 0.127 | 1.9077 | 10000 | 3.7211 |
| 0.094 | 2.0984 | 11000 | 3.8280 |
| 0.0899 | 2.2892 | 12000 | 3.8603 |
| 0.0883 | 2.4800 | 13000 | 3.9257 |
| 0.0813 | 2.6707 | 14000 | 3.9864 |
| 0.0784 | 2.8615 | 15000 | 4.0649 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.3.0
- Datasets 2.14.4
- Tokenizers 0.20.3