Gemma_ei_oc_unstructured_train

This model is a fine-tuned version of google/gemma-7b on the emollms_ei_oc_unstructured dataset. It achieves the following results on the evaluation set:

• Loss: 0.1393

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: 0.0003
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.693	0.3604	10	0.1456
0.1461	0.7207	20	0.1393
0.1397	1.0811	30	0.1414
0.139	1.4414	40	0.1478
0.1464	1.8018	50	0.1490

Framework versions

• PEFT 0.11.1
• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1