tinyllama-lora-squad_32_1e-03_2_lora32_qk

yahyaahmed/tinyllama-lora-squad_32_1e-03_2_lora32_qk

tinyllama-lora-squad_32_1e-03_2_lora32_qk is a machine learning model from yahyaahmed. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jun 9, 2025
Updated: Jun 9, 2025
SHA: 70771599

Base models

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

Model card

From the Hugging Face model README

tinyllama-lora-squad_32_1e-03_2_lora32_qk

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: 0.0065

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: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.9295	0.4003	124	0.0091
0.0077	0.8006	248	0.0071
0.0058	1.2034	372	0.0069
0.005	1.6037	496	0.0065

Framework versions

PEFT 0.14.0
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

Library: peft
License: apache-2.0
Created: Jun 9, 2025
Updated: Jun 9, 2025