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tamarailic11
/
abundant_life_planning_qa_model

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Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
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tamarailic11 commited on
Commit
9832588
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1 Parent(s): 296cd10

Training in progress epoch 0

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Files changed (3) hide show
  1. README.md +3 -5
  2. tf_model.h5 +1 -1
  3. tokenizer.json +1 -1
README.md CHANGED
@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-large-uncased-whole-word-masking-finetuned-squad](https://huggingface.co/google-bert/bert-large-uncased-whole-word-masking-finetuned-squad) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.0330
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  - Validation Loss: 0.0
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- - Epoch: 2
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  ## Model description
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@@ -43,9 +43,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 1.4660 | 0.0 | 0 |
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- | 1.0316 | 0.0 | 1 |
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- | 1.0330 | 0.0 | 2 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-large-uncased-whole-word-masking-finetuned-squad](https://huggingface.co/google-bert/bert-large-uncased-whole-word-masking-finetuned-squad) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 1.4127
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  - Validation Loss: 0.0
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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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+ | 1.4127 | 0.0 | 0 |
 
 
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 1336926952
 
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tokenizer.json CHANGED
@@ -4,7 +4,7 @@
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  "direction": "Right",
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  "max_length": 384,
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  "strategy": "OnlySecond",
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- "stride": 128
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  },
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  "padding": {
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  "strategy": {
 
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  "direction": "Right",
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  "max_length": 384,
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  "strategy": "OnlySecond",
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+ "stride": 64
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  },
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  "padding": {
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  "strategy": {