Movie_Review_sentiment_Analysis
This model is a fine-tuned version of TheBloke/Llama-2-7b-Chat-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6025
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 130
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4987 | 0.01 | 120 | 2.6025 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
Model tree for Junr-syl/Movie_Review_sentiment_Analysis
Base model
meta-llama/Llama-2-7b-chat-hf
Quantized
TheBloke/Llama-2-7B-Chat-GPTQ