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thejosango
/
nuha-ajp-binary

Text Classification
Transformers
PyTorch
Safetensors
Arabic
bert
hate-speech
gender-based-violence
arabic
binary-classification
pilot
Eval Results (legacy)
text-embeddings-inference
Model card Files
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 Community
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yazansh commited on
Commit
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1 Parent(s): 7edfa11

binary-22

Browse files
Files changed (5) hide show
  1. README.md +11 -11
  2. config.json +1 -1
  3. config.toml +1 -1
  4. pytorch_model.bin +2 -2
  5. training_args.bin +1 -1
README.md CHANGED
@@ -23,13 +23,13 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.6485002112378538
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  - name: Precision
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  type: precision
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- value: 0.539543057996485
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  - name: Recall
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  type: recall
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- value: 0.8125992588671255
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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
@@ -39,10 +39,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [thejosango/nuha-mlm](https://huggingface.co/thejosango/nuha-mlm) on the nuha-dataset dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8757
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- - F1: 0.6485
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- - Precision: 0.5395
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- - Recall: 0.8126
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  - Support: None
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  ## Model description
@@ -78,10 +78,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Support |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:-------:|
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- | 4.3069 | 1.06 | 500 | 1.4584 | 0.5420 | 0.5552 | 0.5294 | None |
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- | 2.2513 | 2.12 | 1000 | 1.0159 | 0.6375 | 0.5648 | 0.7316 | None |
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- | 1.8301 | 3.18 | 1500 | 0.9251 | 0.6383 | 0.5431 | 0.7740 | None |
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- | 1.4741 | 4.24 | 2000 | 0.8757 | 0.6485 | 0.5395 | 0.8126 | None |
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.6588341617713511
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  - name: Precision
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  type: precision
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+ value: 0.5746945210878991
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  - name: Recall
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  type: recall
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+ value: 0.771836950767602
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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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  This model is a fine-tuned version of [thejosango/nuha-mlm](https://huggingface.co/thejosango/nuha-mlm) on the nuha-dataset dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5706
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+ - F1: 0.6588
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+ - Precision: 0.5747
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+ - Recall: 0.7718
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  - Support: None
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Support |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:-------:|
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+ | 1.4301 | 1.06 | 500 | 0.6781 | 0.6258 | 0.5196 | 0.7867 | None |
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+ | 0.9299 | 2.12 | 1000 | 0.5772 | 0.6445 | 0.5834 | 0.7200 | None |
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+ | 0.8169 | 3.18 | 1500 | 0.5642 | 0.6496 | 0.5847 | 0.7305 | None |
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+ | 0.7177 | 4.24 | 2000 | 0.5706 | 0.6588 | 0.5747 | 0.7718 | None |
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  ### Framework versions
config.json CHANGED
@@ -23,7 +23,7 @@
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  "max_position_embeddings": 512,
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  "model_type": "bert",
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  "num_attention_heads": 12,
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- "num_hidden_layers": 12,
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
 
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  "max_position_embeddings": 512,
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  "model_type": "bert",
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  "num_attention_heads": 12,
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+ "num_hidden_layers": 4,
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
config.toml CHANGED
@@ -16,7 +16,7 @@ revision = "984ac09880b24959f6767fdbea8757d2c312df46"
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  hidden_dropout_prob = 0.2
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  attention_probs_dropout_prob = 0.2
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  classifier_dropout = 0.2
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- #num_hidden_layers = 6
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  #num_attention_heads = 12
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  #hidden_size = 768
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  #intermediate_size= null
 
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  hidden_dropout_prob = 0.2
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  attention_probs_dropout_prob = 0.2
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  classifier_dropout = 0.2
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+ num_hidden_layers = 4
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  #num_attention_heads = 12
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  #hidden_size = 768
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  #intermediate_size= null
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