Training in progress epoch 0
Browse files- README.md +6 -8
- config.json +1 -1
- tf_model.h5 +1 -1
README.md
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---
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license: apache-2.0
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base_model: distilbert-base-uncased
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tags:
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- generated_from_keras_callback
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model-index:
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@@ -13,11 +13,11 @@ probably proofread and complete it, then remove this comment. -->
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# hankokk/my_awesome_qa_model
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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:
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- Validation Loss:
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- Epoch:
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## Model description
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 1.7356 | 1.6589 | 1 |
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| 1.4910 | 1.6589 | 2 |
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### Framework versions
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---
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license: apache-2.0
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base_model: distilbert-base-uncased-distilled-squad
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tags:
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- generated_from_keras_callback
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model-index:
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# hankokk/my_awesome_qa_model
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This model is a fine-tuned version of [distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert-base-uncased-distilled-squad) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.5701
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- Validation Loss: 0.4619
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- Epoch: 0
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## Model description
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 0.5701 | 0.4619 | 0 |
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### Framework versions
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config.json
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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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"DistilBertForQuestionAnswering"
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{
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"_name_or_path": "distilbert-base-uncased-distilled-squad",
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"activation": "gelu",
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"architectures": [
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"DistilBertForQuestionAnswering"
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 265583592
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version https://git-lfs.github.com/spec/v1
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oid sha256:db10342bc69df9f1f5a2baa728d3b0d00da38a666b2f348b8d8f0c6cebd9ddec
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size 265583592
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