Fine_tuned_model

This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 9.3108

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: 2.5e-05
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss
9.3428	0.0230	5	9.3261
9.2891	0.0459	10	9.3237
9.3229	0.0689	15	9.3213
9.325	0.0918	20	9.3189
9.2929	0.1148	25	9.3167
9.3197	0.1378	30	9.3148
9.3362	0.1607	35	9.3131
9.3035	0.1837	40	9.3119
9.3198	0.2067	45	9.3111
9.4037	0.2296	50	9.3108

Framework versions

• Transformers 4.43.3
• Pytorch 2.4.0+cu121
• Tokenizers 0.19.1