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roberta-base-bne-finetuned-amazon_reviews_multi

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lewtun HF staff commited on
Commit
48a974e
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1 Parent(s): ff4d035

add model

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Files changed (7) hide show
  1. README.md +5 -5
  2. config.json +1 -9
  3. pytorch_model.bin +1 -1
  4. runs/Aug23_16-43-12_7843dcbb7c4b/1629737151.2558837/events.out.tfevents.1629737151.7843dcbb7c4b.76.1 +3 -0
  5. runs/Aug23_16-43-12_7843dcbb7c4b/events.out.tfevents.1629737151.7843dcbb7c4b.76.0 +3 -0
  6. tokenizer.json +0 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -29,7 +29,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the amazon_reviews_multi dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2005
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  - Accuracy: 0.9307
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  ## Model description
@@ -50,8 +50,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 32
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- - eval_batch_size: 32
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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
@@ -61,8 +61,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.1776 | 1.0 | 625 | 0.1761 | 0.9295 |
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- | 0.0924 | 2.0 | 1250 | 0.2005 | 0.9307 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the amazon_reviews_multi dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2306
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  - Accuracy: 0.9307
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  ## Model description
 
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.1978 | 1.0 | 1250 | 0.1750 | 0.9325 |
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+ | 0.0951 | 2.0 | 2500 | 0.2306 | 0.9307 |
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  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "lewtun/roberta-base-bne-finetuned-amazon_reviews_multi",
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  "architectures": [
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  "RobertaForSequenceClassification"
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  ],
@@ -10,16 +10,8 @@
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.0,
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  "hidden_size": 768,
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- "id2label": {
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- "0": "NEGATIVO",
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- "1": "POSITIVO"
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- },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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- "label2id": {
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- "NEGATIVO": 0,
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- "POSITIVO": 1
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- },
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  "layer_norm_eps": 1e-05,
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  "max_position_embeddings": 514,
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  "model_type": "roberta",
 
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  {
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+ "_name_or_path": "BSC-TeMU/roberta-base-bne",
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  "architectures": [
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  "RobertaForSequenceClassification"
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  ],
 
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.0,
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  "hidden_size": 768,
 
 
 
 
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
 
 
 
 
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  "layer_norm_eps": 1e-05,
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  "max_position_embeddings": 514,
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  "model_type": "roberta",
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