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Gampanut
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exp_number1

Text Classification
Transformers
Safetensors
luke
Generated from Trainer
Inference Endpoints
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End of training

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Files changed (3) hide show
  1. README.md +12 -7
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [studio-ousia/mluke-base](https://huggingface.co/studio-ousia/mluke-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2131
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  ## Model description
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@@ -43,17 +43,22 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.4351 | 1.0 | 221 | 0.5519 |
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- | 0.3954 | 2.0 | 443 | 0.3151 |
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- | 0.2607 | 3.0 | 664 | 0.3064 |
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- | 0.222 | 4.0 | 886 | 0.2342 |
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- | 0.1296 | 4.99 | 1105 | 0.2131 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [studio-ousia/mluke-base](https://huggingface.co/studio-ousia/mluke-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1505
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.4113 | 1.0 | 221 | 0.4158 |
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+ | 0.3323 | 2.0 | 443 | 0.2946 |
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+ | 0.2299 | 3.0 | 664 | 0.2595 |
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+ | 0.2158 | 4.0 | 886 | 0.2567 |
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+ | 0.1404 | 5.0 | 1107 | 0.2323 |
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+ | 0.1266 | 6.0 | 1329 | 0.1984 |
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+ | 0.1011 | 7.0 | 1550 | 0.2254 |
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+ | 0.0927 | 8.0 | 1772 | 0.1606 |
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+ | 0.0735 | 9.0 | 1993 | 0.1404 |
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+ | 0.0639 | 9.98 | 2210 | 0.1505 |
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  ### Framework versions
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