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weichenh/
llama-1.1b-backward-model

Name: llama-1.1b-backward-model
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

TinyLlama/TinyLlama-1.1B-Chat-v1.0

adapter

apache-2.0

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llama-1.1b-backward-model

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.6506

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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss
1.6623	0.4	10	1.6572
1.8958	0.8	20	1.6539
1.8355	1.2	30	1.6537
1.6525	1.6	40	1.6503
1.7739	2.0	50	1.6506

Framework versions

PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0

weichenh/llama-1.1b-backward-model

llama-1.1b-backward-model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

weichenh/
llama-1.1b-backward-model