starcoder-ft-alpaca-es-v3

This model is a fine-tuned version of bigcode/starcoder on the None dataset. It achieves the following results on the evaluation set:

• Loss: nan

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: 0.0003
• 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: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.0117	0.27	200	0.9912
1.0515	0.55	400	1.0008
1.0981	0.82	600	1.0197
657.1807	1.1	800	nan
2927.9309	1.37	1000	nan
409.511	1.64	1200	nan
593.4789	1.92	1400	nan

Framework versions

• Transformers 4.30.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3