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vijay-ravichander/
mistral-7b-sft-lora-tom-final

Name: mistral-7b-sft-lora-tom-final
Availability: InStock

generated_from_trainer

mistralai/Mistral-7B-Instruct-v0.1

adapter

apache-2.0

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mistral-7b-sft-lora-tom-final

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2004

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 128
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.3136	0.96	15	1.3160
1.2453	1.984	31	1.2184
1.1807	2.88	45	1.2004

Framework versions

PEFT 0.10.1.dev0
Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

vijay-ravichander/mistral-7b-sft-lora-tom-final

mistral-7b-sft-lora-tom-final

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vijay-ravichander/
mistral-7b-sft-lora-tom-final