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raulgdp/
Mistral-7B-Instruct-v0.3-009-3000

Name: Mistral-7B-Instruct-v0.3-009-3000
Availability: InStock

peft

safetensors

generated_from_trainer

mistralai/Mistral-7B-Instruct-v0.3

adapter

apache-2.0

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Mistral-7B-Instruct-v0.3-009-3000

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3700

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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.2602	1.0861	100	1.1349
0.8209	2.1723	200	0.8572
0.6502	3.2584	300	0.6589
0.5165	4.3445	400	0.5444
0.4176	5.4307	500	0.4736
0.3864	6.5168	600	0.4283
0.3301	7.6030	700	0.3977
0.3067	8.6891	800	0.3791
0.2775	9.7752	900	0.3700

Framework versions

PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1

raulgdp/Mistral-7B-Instruct-v0.3-009-3000

Mistral-7B-Instruct-v0.3-009-3000

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

raulgdp/
Mistral-7B-Instruct-v0.3-009-3000