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prompt_tuning_t2t_11122024110433_sst2_t2t_text_origin_0_meta-llama-3.2-1b – AI Model by kisejin | AlphaNeural AI
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prompt_tuning_t2t_11122024110433_sst2_t2t_text_origin_0_meta-llama-3.2-1b
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peft
safetensors
generated_from_trainer
meta-llama/Llama-3.2-1B
adapter
llama3.2
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prompt_tuning_t2t_11122024110433_sst2_t2t_text_origin_0_meta-llama-3.2-1b
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2369
Exact Match: 1.0
F1: 1.0
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: 0.3
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Exact Match
F1
0.3488
1.0
4147
0.3424
0.0
0.0
0.3466
2.0
8294
0.3473
0.305
0.3139
0.2802
3.0
12441
0.2794
0.997
0.9973
0.2498
4.0
16588
0.2472
1.0
1.0
0.2294
5.0
20735
0.2369
1.0
1.0
Framework versions
PEFT 0.13.2
Transformers 4.47.0.dev0
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.3
