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: 1.0546
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: 6
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 36
total_train_batch_size: 216
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.1912
0.28
10
1.1099
1.1238
0.55
20
1.0655
1.1258
0.83
30
1.0550
Framework versions
Transformers 4.36.2
Pytorch 2.2.0a0+gitd925d94
Datasets 2.14.6
Tokenizers 0.15.0
Training procedure
The following bitsandbytes quantization config was used during training:
