BASE

This model is a fine-tuned version of facebook/opt-125m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.3414
• Ppl: 29.2811

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: 2
• eval_batch_size: 2
• seed: 22554
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• total_eval_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 2000
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Ppl
4.2333	2.51	4000	4.0199	57.7725
3.5457	5.01	8000	3.4861	33.8623
3.3372	7.52	12000	3.3414	29.2811

Framework versions

• Transformers 4.35.0.dev0
• Pytorch 1.13.1+cu117
• Datasets 2.14.6
• Tokenizers 0.14.1