llama2-2t-asstop1-lr2-e5-cos-ep3-instruct-v4

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4769

Too many warmup steps as a result loss did not go down much. This model is suboptimal.

Training Script

https://github.com/habanoz/llm-sft/

Training Setup

Trained on Sagemaker ml.g5.xlarge for 1 hour(s), 43 minute(s), and 30 second(s).

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: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 100
• training_steps: 0

Training results

Training Loss	Epoch	Step	Validation Loss
1.6795	1.0	202	1.5372
1.5387	2.0	404	1.4769

Framework versions

• Transformers 4.35.2
• Pytorch 2.0.0
• Datasets 2.12.0
• Tokenizers 0.15.0