codeparrot-ds

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

• Loss: 4.5904

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: 0.0005
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 1000
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.9189	0.0766	5000	4.7222
4.6994	0.1533	10000	4.6899
4.6724	0.2299	15000	4.6754
4.6608	0.3065	20000	4.6618
4.6498	0.3832	25000	4.6529
4.6401	0.4598	30000	4.6463
4.6328	0.5365	35000	4.6370
4.6226	0.6131	40000	4.6300
4.6128	0.6897	45000	4.6196
4.6034	0.7664	50000	4.6116
4.5965	0.8430	55000	4.6028
4.5869	0.9196	60000	4.5959
4.5813	0.9963	65000	4.5904

Framework versions

• Transformers 4.45.0.dev0
• Pytorch 2.2.0
• Datasets 3.0.0
• Tokenizers 0.19.1