python_and_text_pythia_160m

This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.6491
• Accuracy: 0.1972
• Num Input Tokens Seen: 1941504

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: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 8
• total_eval_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Input Tokens Seen
No log	0	0	9.8144	0.1972	0
2.0211	0.6329	50	1.9535	0.1268	409600
1.916	1.2658	100	1.6972	0.1972	819200
1.6616	1.8987	150	1.6491	0.1972	1228800
1.565	2.5316	200	1.6664	0.1408	1638400

Framework versions

• Transformers 4.43.2
• Pytorch 2.4.0
• Datasets 2.20.0
• Tokenizers 0.19.1