This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9013

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: 4
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 10
total_train_batch_size: 40
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.9354	0.22	92	0.9211
0.8752	1.16	160	0.9013

Framework versions

Transformers 4.35.0
Pytorch 2.3.0.dev20231228+rocm5.7
Datasets 2.14.6
Tokenizers 0.14.1

alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-sft-full

TinyLlama-1.1B-Chat-v1.0-reasoning-sft-full

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

alexredna/
TinyLlama-1.1B-Chat-v1.0-reasoning-sft-full