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results_packing – AI Model by YagoubChatBot | AlphaNeural AI
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results_packing
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
mistralai/Mistral-7B-Instruct-v0.2
adapter
apache-2.0
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results_packing
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3137
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: 3e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.1757
0.1
50
1.5336
1.5129
0.21
100
1.3137
Framework versions
PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
