TinyJensen-1.1B

This model is a fine-tuned version of jan-hq/LlamaCorn-1.1B-Chat on the jan-hq/systemchat_binarized and the jan-hq/youtube_transcripts_qa datasets. It achieves the following results on the evaluation set:

• Loss: 0.8390

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: 7e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 4
• total_train_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
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.7614	1.0	178	0.7861
0.5033	2.0	356	0.7810
0.3561	3.0	534	0.8390

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.2+cu121
• Datasets 2.14.6
• Tokenizers 0.15.0