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clasificador-tweets

Text Classification
Transformers
Safetensors
electra
classification
Generated from Trainer
Inference Endpoints
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joheras commited on
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Training complete

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Files changed (4) hide show
  1. README.md +3 -17
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -4,8 +4,6 @@ base_model: mrm8488/electricidad-base-discriminator
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  tags:
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  - classification
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  - generated_from_trainer
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- metrics:
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- - accuracy
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  model-index:
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  - name: clasificador-tweets
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  results: []
@@ -17,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # clasificador-tweets
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  This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.0876
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- - Accuracy: 0.7021
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  ## Model description
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@@ -44,27 +39,18 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 23 | 1.7531 | 0.3404 |
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- | No log | 2.0 | 46 | 1.5855 | 0.5319 |
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- | No log | 3.0 | 69 | 1.3823 | 0.5745 |
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- | No log | 4.0 | 92 | 1.1917 | 0.6383 |
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- | No log | 5.0 | 115 | 1.1186 | 0.6170 |
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- | No log | 6.0 | 138 | 1.0838 | 0.6809 |
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- | No log | 7.0 | 161 | 1.0910 | 0.6809 |
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- | No log | 8.0 | 184 | 1.0641 | 0.7021 |
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- | No log | 9.0 | 207 | 1.0714 | 0.6809 |
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- | No log | 10.0 | 230 | 1.0876 | 0.7021 |
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  ### Framework versions
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- - Transformers 4.47.0
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  - Pytorch 2.5.1+cu121
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0
 
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  tags:
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  - classification
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  - generated_from_trainer
 
 
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  model-index:
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  - name: clasificador-tweets
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  results: []
 
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  # clasificador-tweets
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  This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset.
 
 
 
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 23 | 1.8326 | 0.3404 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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+ - Transformers 4.47.1
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  - Pytorch 2.5.1+cu121
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0
config.json CHANGED
@@ -44,7 +44,7 @@
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  "summary_type": "first",
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  "summary_use_proj": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.47.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 31002
 
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  "summary_type": "first",
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  "summary_use_proj": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.47.1",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 31002
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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training_args.bin CHANGED
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