sample_data

This model is a fine-tuned version of facebook/opt-350m on the None dataset. It achieves the following results on the evaluation set:

• Loss: 4.6426

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• 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: 0.05
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.9032	0.4444	1	5.1705
4.8617	0.8889	2	4.8856
4.6261	1.3333	3	4.7009
4.4803	1.7778	4	4.6426

Framework versions

• PEFT 0.13.0
• Transformers 4.45.0
• Pytorch 2.4.1+cu121
• Datasets 3.0.0
• Tokenizers 0.20.0