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bert-base-thai-intent-booking

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
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Training in progress, epoch 1

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  1. README.md +14 -13
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,7 @@
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  ---
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  library_name: transformers
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- base_model: monsoon-nlp/bert-base-thai
 
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -9,22 +10,22 @@ metrics:
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  - precision
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  - recall
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  model-index:
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- - name: bert-base-thai-intent-booking
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # bert-base-thai-intent-booking
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- This model is a fine-tuned version of [monsoon-nlp/bert-base-thai](https://huggingface.co/monsoon-nlp/bert-base-thai) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3733
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- - Accuracy: 0.1261
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- - F1: 0.0283
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- - Precision: 0.0159
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- - Recall: 0.1261
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  ## Model description
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@@ -50,15 +51,15 @@ 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_steps: 64
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 2.3802 | 1.0 | 65 | 2.3606 | 0.0901 | 0.0149 | 0.0081 | 0.0901 |
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- | 2.3669 | 2.0 | 130 | 2.2684 | 0.1306 | 0.0442 | 0.0268 | 0.1306 |
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- | 2.2959 | 3.0 | 195 | 2.1924 | 0.1486 | 0.0696 | 0.0495 | 0.1486 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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+ license: apache-2.0
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+ base_model: Geotrend/bert-base-th-cased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  - precision
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  - recall
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  model-index:
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+ - name: bert-base-th-cased-intent-booking
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # bert-base-th-cased-intent-booking
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+ This model is a fine-tuned version of [Geotrend/bert-base-th-cased](https://huggingface.co/Geotrend/bert-base-th-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2346
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+ - Accuracy: 0.9369
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+ - F1: 0.9340
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+ - Precision: 0.9471
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+ - Recall: 0.9369
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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_steps: 64
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 1.9427 | 1.0 | 65 | 0.7129 | 0.8964 | 0.8947 | 0.9055 | 0.8964 |
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+ | 0.48 | 2.0 | 130 | 0.2325 | 0.9369 | 0.9365 | 0.9390 | 0.9369 |
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+ | 0.1783 | 3.0 | 195 | 0.2001 | 0.9505 | 0.9511 | 0.9578 | 0.9505 |
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  ### Framework versions
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