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rag_deberta_checkpoints – AI Model by 23f3003974 | AlphaNeural AI
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23f3003974
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rag_deberta_checkpoints
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peft
safetensors
adapter
lora
transformers
google/bigbird-roberta-large
apache-2.0
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rag_deberta_checkpoints
This model is a fine-tuned version of
google/bigbird-roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6086
Map@3: 0.4102
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-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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: linear
lr_scheduler_warmup_steps: 25
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Map@3
25.9079
1.0
62
1.6103
0.3054
25.7527
2.0
124
1.6093
0.3959
25.6303
3.0
186
1.6084
0.3878
25.8033
4.0
248
1.6082
0.4088
25.6139
5.0
310
1.6086
0.4102
Framework versions
PEFT 0.19.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
