gpt-neo-1.3B-emailgen

This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on the postbot/multi-emails-100k dataset. It achieves the following results on the evaluation set:

• Loss: 1.6930

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 32
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.02
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.8669	1.0	789	1.7866
1.4049	2.0	1578	1.6930

Framework versions

• Transformers 4.22.2
• Pytorch 1.10.0+cu113
• Tokenizers 0.12.1

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	33.47
AI2 Reasoning Challenge (25-Shot)	29.95
HellaSwag (10-Shot)	47.95
MMLU (5-Shot)	24.11
TruthfulQA (0-shot)	42.55
Winogrande (5-shot)	56.27
GSM8k (5-shot)	0.00