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mistral-ultrachat – AI Model by pkarypis | AlphaNeural AI
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mistral-ultrachat
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transformers
tensorboard
safetensors
mistral
text-generation
trl
sft
generated_from_trainer
conversational
generator
mistralai/Mistral-7B-v0.1
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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mistral-ultrachat
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.9247
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: 4
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 32
total_train_batch_size: 128
total_eval_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.9331
1.0
1090
0.9247
Framework versions
Transformers 4.36.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.15.0
