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criticon-sft-v0.1 – AI Model by distilabel-internal-testing | AlphaNeural AI
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distilabel-internal-testing
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criticon-sft-v0.1
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transformers
safetensors
mistral
text-generation
trl
sft
generated_from_trainer
conversational
generator
teknium/OpenHermes-2.5-Mistral-7B
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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criticon-sft-v0.1
This model is a fine-tuned version of
teknium/OpenHermes-2.5-Mistral-7B
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.4668
WandB logs
criticon logs
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: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.6226
0.29
500
0.6215
0.5616
0.57
1000
0.5684
0.5384
0.86
1500
0.5288
0.4248
1.14
2000
0.5098
0.3969
1.43
2500
0.4809
0.3933
1.72
3000
0.4668
Framework versions
Transformers 4.38.0
Pytorch 2.1.1+cu121
Datasets 2.16.1
Tokenizers 0.15.2
