DS-Chatbox-facebook-xglm-564M-V3

This model is a fine-tuned version of facebook/xglm-564M on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.5064
• eval_runtime: 181.3835
• eval_samples_per_second: 39.099
• eval_steps_per_second: 4.89
• epoch: 1.69
• step: 3500

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: 7.500000000000001e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 5

Framework versions

• Transformers 4.30.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3