clementesc commited on
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Training in progress epoch 0

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Files changed (4) hide show
  1. README.md +6 -10
  2. config.json +5 -5
  3. tf_model.h5 +2 -2
  4. tokenizer.json +6 -1
README.md CHANGED
@@ -12,12 +12,12 @@ probably proofread and complete it, then remove this comment. -->
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  # clementesc/my_rotten_tomatoes
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- This model is a fine-tuned version of [clementesc/my_rotten_tomatoes](https://huggingface.co/clementesc/my_rotten_tomatoes) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0202
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- - Validation Loss: 0.6022
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- - Train Accuracy: 0.8415
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- - Epoch: 4
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  ## Model description
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@@ -43,11 +43,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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- | 0.0203 | 0.6022 | 0.8415 | 0 |
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- | 0.0207 | 0.6022 | 0.8415 | 1 |
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- | 0.0207 | 0.6022 | 0.8415 | 2 |
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- | 0.0190 | 0.6022 | 0.8415 | 3 |
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- | 0.0202 | 0.6022 | 0.8415 | 4 |
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  ### Framework versions
 
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  # clementesc/my_rotten_tomatoes
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.4132
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+ - Validation Loss: 0.3652
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+ - Train Accuracy: 0.8452
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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+ | 0.4132 | 0.3652 | 0.8452 | 0 |
 
 
 
 
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  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "clementesc/my_rotten_tomatoes",
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  "activation": "gelu",
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  "architectures": [
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  "DistilBertForSequenceClassification"
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  "dropout": 0.1,
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  "hidden_dim": 3072,
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  "id2label": {
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- "0": "NEGATIVE",
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- "1": "POSITIVE"
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  },
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  "initializer_range": 0.02,
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  "label2id": {
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- "NEGATIVE": 0,
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- "POSITIVE": 1
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  },
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
 
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  {
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+ "_name_or_path": "distilbert-base-uncased",
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  "activation": "gelu",
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  "architectures": [
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  "DistilBertForSequenceClassification"
 
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  "dropout": 0.1,
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  "hidden_dim": 3072,
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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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  "label2id": {
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+ "NEGATIVO": 0,
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+ "POSITIVO": 1
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  },
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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tokenizer.json CHANGED
@@ -1,6 +1,11 @@
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  {
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  "version": "1.0",
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- "truncation": null,
 
 
 
 
 
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  "padding": null,
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  "added_tokens": [
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  {
 
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