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: 0.6514
Accuracy: 0.625

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: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6033	0.6410	100	0.6514	0.625

Framework versions

Transformers 4.42.2
Pytorch 2.2.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1