metadata

license: apache-2.0
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
  - name: mistral-ft
    results: []
pipeline_tag: text2text-generation
widget:
  - text: >-
      Résultats :• Absence d’anomalie de densité parenchymateuse cérébrale,
      cérébelleuse ou du tronc cérébral• Absence de dilatation du système
      ventriculaire.• Structures médianes en place.• Absence de collection péri
      cérébrale.• Absence de lésion osseuse.• Bonne pneumatisation des sinus.
    example_title: Observation

mistral-ft

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2527

Model description

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ for radiology reports conclusions generation.

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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.3229	0.97	27	1.8742
1.7299	1.98	55	1.6318
1.5704	2.99	83	1.4831
1.4553	4.0	111	1.4052
1.4421	4.97	138	1.3805
1.3759	5.98	166	1.3759
1.3658	6.99	194	1.3355
1.3271	8.0	222	1.2890
1.3299	8.97	249	1.2618
1.2296	9.73	270	1.2527

Framework versions

PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2