metadata

library_name: transformers
license: llama3.1
base_model: meta-llama/Llama-3.1-8B
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: inter-play-sim-assistant-test
    results: []

inter-play-sim-assistant-test

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.5878

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: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_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
training_steps: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.597	0.0128	10	1.5878

Framework versions

Transformers 4.45.2
Pytorch 2.4.1.post302
Datasets 3.0.1
Tokenizers 0.20.1