metadata

base_model: meta-llama/Llama-2-7b-hf
tags:
  - generated_from_trainer
widget:
  - text: Best cast iron skillet you will ever buy.
    example_title: Sentiment analysis
model-index:
  - name: Llama-2-7b-peft-SFT
    results: []
datasets:
  - Akash092003/ABSA-alpaca-SemEval2014Task4
pipeline_tag: text-generation
language:
  - en

results

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset.

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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 400

Training results

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3