This model is a fine-tuned version of TinyLlama/TinyLlama_v1.1 on the martimfasantos/openai-summarize-tldr dataset. It achieves the following results on the evaluation set:

Loss: 2.1131

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
2.1116	0.9997	1476	2.1131

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1

RichardErkhov/martimfasantos_-_tinyllama-1.1b-sum-sft-full_v1.1-awq

Original model description:

tinyllama-1.1b-sum-sft-full_v1.1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
martimfasantos_-_tinyllama-1.1b-sum-sft-full_v1.1-awq