README.md

metadata

license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: tinyllama-1.1b-sum-sft-full_final
    results: []

tinyllama-1.1b-sum-sft-full_final

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 2.1231

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 2
• 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: 0.1
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
2.1211	0.9997	1476	2.1252
2.0984	1.9993	2952	2.1231

Framework versions

• Transformers 4.43.3
• Pytorch 2.1.2+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1