stella-base-en-v2-finetuned-colet

This model is a fine-tuned version of infgrad/stella-base-en-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 7.3027

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
8.5596	1.0	32	7.5865
7.4649	2.0	64	7.3027
7.3587	3.0	96	7.3353

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0
• Datasets 2.14.6
• Tokenizers 0.14.1