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---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: feedback_model_e10_save5000
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# feedback_model_e10_save5000
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0187
## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:------:|:---------------:|
| 1.0496 | 0.4769 | 5000 | 2.0187 |
| 0.3448 | 0.9538 | 10000 | 2.5590 |
| 0.2027 | 1.4308 | 15000 | 2.8900 |
| 0.1746 | 1.9077 | 20000 | 2.9743 |
| 0.1488 | 2.3846 | 25000 | 3.1316 |
| 0.1395 | 2.8615 | 30000 | 3.2616 |
| 0.1189 | 3.3384 | 35000 | 3.3299 |
| 0.116 | 3.8153 | 40000 | 3.4260 |
| 0.0944 | 4.2923 | 45000 | 3.5361 |
| 0.0937 | 4.7692 | 50000 | 3.6240 |
| 0.0731 | 5.2461 | 55000 | 3.7380 |
| 0.0737 | 5.7230 | 60000 | 3.8218 |
| 0.0549 | 6.1999 | 65000 | 3.9090 |
| 0.0556 | 6.6768 | 70000 | 4.0614 |
| 0.0444 | 7.1538 | 75000 | 4.1715 |
| 0.0429 | 7.6307 | 80000 | 4.2847 |
| 0.0369 | 8.1076 | 85000 | 4.4924 |
| 0.0364 | 8.5845 | 90000 | 4.5050 |
| 0.034 | 9.0614 | 95000 | 4.6572 |
| 0.0345 | 9.5383 | 100000 | 4.6768 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.3.0
- Datasets 2.14.4
- Tokenizers 0.20.3
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