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

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

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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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agenttuning

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

Loss: 1.3693

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
0.1968	0.2146	100	1.6164
0.3219	0.4292	200	1.4746
0.3474	0.6438	300	1.4281
0.365	0.8584	400	1.3694

Framework versions

Transformers 4.46.1
Pytorch 2.7.1+cu126
Datasets 3.1.0
Tokenizers 0.20.3