fine-tuning-llama / README.md
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metadata
base_model: TinyPixel/Llama-2-7B-bf16-sharded
tags:
  - generated_from_trainer
datasets:
  - dialogstudio
  - Andyrasika/TweetSumm-tuned
model-index:
  - name: experiments
    results: []
license: creativeml-openrail-m
language:
  - en
metrics:
  - accuracy
library_name: transformers

experiments

This model is a fine-tuned version of TinyPixel/Llama-2-7B-bf16-sharded on the dialogstudio dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8522

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: 0.0001
  • 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: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
1.9048 0.4 22 1.9220
1.824 0.8 44 1.8809
1.6784 1.2 66 1.8619
1.77 1.6 88 1.8537
1.6501 2.0 110 1.8522

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3