metadata
license: apache-2.0
base_model: TinyLlama/TinyLlama_v1.1
tags:
- trl
- reward-trainer
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tinyllama_rm_sentiment_1b
results: []
tinyllama_rm_sentiment_1b
This model is a fine-tuned version of TinyLlama/TinyLlama_v1.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7411
- Accuracy: 0.5943
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: 3e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.524 | 0.6410 | 100 | 0.6454 | 0.6373 |
| 0.3259 | 1.2821 | 200 | 0.6920 | 0.6066 |
| 0.237 | 1.9231 | 300 | 0.7411 | 0.5943 |
Framework versions
- Transformers 4.42.2
- Pytorch 2.2.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1