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Farjfar
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BERT-Libertarian

Token Classification
Transformers
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Safetensors
bert
Generated from Trainer
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End of training

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Files changed (23) hide show
  1. README.md +5 -16
  2. config.json +1 -0
  3. model.safetensors +1 -1
  4. runs/May21_11-11-13_7fcfbbaf8819/events.out.tfevents.1716289874.7fcfbbaf8819.4422.11 +3 -0
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README.md CHANGED
@@ -3,10 +3,6 @@ license: apache-2.0
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  base_model: bert-base-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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- - f1
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  model-index:
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  - name: BERT-Libertarian
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  results: []
@@ -18,11 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # BERT-Libertarian
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.1734
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- - Precision: 0.5632
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- - Recall: 0.6051
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- - F1: 0.5834
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  ## Model description
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@@ -47,20 +38,18 @@ The following hyperparameters were used during training:
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  - seed: 42
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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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- - num_epochs: 3
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 306 | 0.1373 | 0.6379 | 0.4185 | 0.5054 |
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- | 0.1047 | 2.0 | 612 | 0.1411 | 0.5994 | 0.5401 | 0.5682 |
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- | 0.1047 | 3.0 | 918 | 0.1734 | 0.5632 | 0.6051 | 0.5834 |
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  ### Framework versions
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  - Transformers 4.40.2
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- - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  base_model: bert-base-cased
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  tags:
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  - generated_from_trainer
 
 
 
 
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  model-index:
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  - name: BERT-Libertarian
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  results: []
 
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  # BERT-Libertarian
15
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 
 
 
 
 
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  ## Model description
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  - seed: 42
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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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+ - num_epochs: 1
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|
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+ | No log | 1.0 | 2 | 2.1412 | 0.0 | 0.0 | 0.0 |
 
 
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  ### Framework versions
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  - Transformers 4.40.2
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+ - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
config.json CHANGED
@@ -26,6 +26,7 @@
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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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  "torch_dtype": "float32",
 
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  "model_type": "bert",
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