m2m100_pruned_ta-freeze100-finetuned-mcsw-to-en-smallmcswbitext

This model is a fine-tuned version of Elaine/m2m100_pruned_ta on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.7877
• Bleu: 31.7539
• Gen Len: 27.4

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.4228	0.8	2500	1.7877	31.7539	27.4

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3