metadata

library_name: transformers
license: other
base_model: clinno/eightwords-20241112
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: sft
    results: []
datasets:
  - clinno/eightwords-241112

Multi-turn fine-tuning

library_name: transformers license: other base_model: clinno/eightwords-20241112 tags: - llama-factory - full - generated_from_trainer model-index: - name: sft results: []

sft

This model is a fine-tuned version of clinno/eightwords-20241112 on the identity and the eightwords-241112 datasets. It achieves the following results on the evaluation set:

Loss: 0.9320

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: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 16.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.7759	4.4608	1000	1.0107
0.554	8.9215	2000	0.9391
0.423	13.3845	3000	0.9251

Framework versions

Transformers 4.46.1
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3