Update README.md
I trained the model for more epochs so I improved the results. This commit will update the results of the model and add a gif using it with **transformers/pipelines**
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Julien Chaumond
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commit
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@@ -46,7 +46,7 @@ The model was trained on a Tesla P100 GPU and 25GB of RAM with the following com
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--predict_file $SQUAD_DIR/dev-v2.json \
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--per_gpu_train_batch_size 12 \
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--learning_rate 3e-5 \
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--num_train_epochs 3.0 \
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--num_train_epochs 5.0 \
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--max_seq_length 384 \
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--doc_stride 128 \
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--output_dir /content/model_output \
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@@ -59,23 +59,23 @@ The model was trained on a Tesla P100 GPU and 25GB of RAM with the following com
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| Metric | # Value |
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| --------- | ----------- |
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| **Exact** | **82.40**65 |
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| **F1** | **90.50**36 |
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| **Exact** | **90.77**48 |
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| **F1** | **94.94**71 |
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```json
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{
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"exact": 82.40657784457096,
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"f1": 90.50369643376753,
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"exact": 90.77483309730933,
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"f1": 94.94714391266254,
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"total": 69202,
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"HasAns_exact": 75.13413304253,
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"HasAns_f1": 87.35521920631561,
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"HasAns_exact": 86.60850599781898,
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"HasAns_f1": 92.90582885592328,
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"HasAns_total": 45850,
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"NoAns_exact": 96.68550873586845,
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"NoAns_f1": 96.68550873586845,
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"NoAns_exact": 98.95512161699212,
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"NoAns_f1": 98.95512161699212,
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"NoAns_total": 23352,
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"best_exact": 82.40657784457096,
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"best_exact": 90.77483309730933,
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"best_exact_thresh": 0.0,
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"best_f1": 90.50369643376902,
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"best_f1": 94.94714391266305,
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"best_f1_thresh": 0.0
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}
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```
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@@ -85,7 +85,7 @@ The model was trained on a Tesla P100 GPU and 25GB of RAM with the following com
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| Model | f1 score |
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| :-------------------------------------------------------------: | :-------: |
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| bert-base-spanish-wwm-cased-finetuned-spa-squad2-es | 86.07 |
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| **distill**-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es | **90.50** |
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| **distill**-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es | **94.94** |
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So, yes, this version is even more accurate.
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@@ -101,6 +101,10 @@ So, yes, this version is even more accurate.
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3. Using **Pipelines**
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</details>
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> Created by [Manuel Romero/@mrm8488](https://twitter.com/mrm8488)
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