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chat_400STEPS_1e6rate_SFT – AI Model by tsavage68 | AlphaNeural AI
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tsavage68
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chat_400STEPS_1e6rate_SFT
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transformers
safetensors
llama
text-generation
trl
sft
generated_from_trainer
conversational
meta-llama/Llama-2-7b-chat-hf
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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chat_400STEPS_1e6rate_SFT
This model is a fine-tuned version of
meta-llama/Llama-2-7b-chat-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3202
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: 1e-06
train_batch_size: 4
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 400
Training results
Training Loss
Epoch
Step
Validation Loss
1.351
0.1
50
1.2639
0.3961
0.2
100
0.3739
0.3545
0.29
150
0.3403
0.332
0.39
200
0.3267
0.332
0.49
250
0.3218
0.3278
0.59
300
0.3205
0.3196
0.68
350
0.3202
0.3146
0.78
400
0.3202
Framework versions
Transformers 4.37.2
Pytorch 2.0.0+cu117
Datasets 2.17.0
Tokenizers 0.15.2