Qwen2.5-7B-Instruct-gaia_5k_v3 – AI Model by lemonhat | AlphaNeural AI

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lemonhat/
Qwen2.5-7B-Instruct-gaia_5k_v3

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text-generation

generated_from_trainer

Qwen/Qwen2.5-7B-Instruct

autotrain_compatible

text-generation-inference

endpoints_compatible

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gaia_5k_v3

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the gaia_5k_v3 dataset. It achieves the following results on the evaluation set:

Loss: 0.3049

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: 5e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 4
total_eval_batch_size: 4
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.4228	0.1099	100	0.3957
0.527	0.2198	200	0.3460
0.3876	0.3297	300	0.3336
0.3415	0.4396	400	0.3235
0.2844	0.5495	500	0.3123
0.3646	0.6593	600	0.3096
0.2695	0.7692	700	0.3131
0.3871	0.8791	800	0.3072
0.4209	0.9890	900	0.3054

Framework versions

Transformers 4.46.1
Pytorch 2.7.1+cu126
Datasets 3.1.0
Tokenizers 0.20.3