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

Loss: 1.0186

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: 4e-05
train_batch_size: 10
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 10
total_train_batch_size: 100
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
1.0456	1.0	347	1.0360
0.9714	2.0	695	1.0180
0.9335	3.0	1042	1.0176
0.9348	3.99	1388	1.0186

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.15.0

alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2

TinyLlama-1.1B-Chat-v1.0-reasoning-v2

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-v2