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Obeida/
aspect-comments-analyzer

generated_from_trainer

Qwen/Qwen2.5-1.5B-Instruct

adapter

apache-2.0

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models1

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the comment_finetune_train dataset. It achieves the following results on the evaluation set:

Loss: 0.1252

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.1317	0.1639	100	0.1600
0.1605	0.3279	200	0.1548
0.1191	0.4918	300	0.1460
0.1423	0.6557	400	0.1349
0.1065	0.8197	500	0.1266
0.1174	0.9836	600	0.1253

Framework versions

PEFT 0.15.2
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.1

Obeida/aspect-comments-analyzer

models1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Obeida/
aspect-comments-analyzer