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mistral-conversational – AI Model by Jatindersingla | AlphaNeural AI
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mistral-conversational
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
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mistral-conversational
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the None dataset.
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 200
Training results
Framework versions
PEFT 0.11.2.dev0
Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
