AYA-8B

This model is a fine-tuned version of CohereForAI/aya-23-8B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.0612

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: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	21	1.8918
No log	2.0	42	1.9454
No log	3.0	63	2.2400
No log	4.0	84	2.4862
No log	5.0	105	2.5904
No log	6.0	126	2.8061
No log	7.0	147	2.8986
No log	8.0	168	2.9773
No log	9.0	189	3.0367
No log	10.0	210	3.0612

Framework versions

• Transformers 4.41.2
• Pytorch 2.2.1
• Datasets 2.19.2
• Tokenizers 0.19.1