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DanielAvelar09
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mi_chatbotV2

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Files changed (8) hide show
  1. README.md +5 -7
  2. model.safetensors +1 -1
  3. runs/Feb29_15-36-09_b05a11540043/events.out.tfevents.1709220970.b05a11540043.1523.1 +3 -0
  4. runs/Feb29_15-38-52_b05a11540043/events.out.tfevents.1709221133.b05a11540043.1523.2 +3 -0
  5. runs/Feb29_15-40-02_b05a11540043/events.out.tfevents.1709221203.b05a11540043.1523.3 +3 -0
  6. runs/Feb29_15-42-19_b05a11540043/events.out.tfevents.1709221339.b05a11540043.1523.4 +3 -0
  7. runs/Feb29_15-43-23_b05a11540043/events.out.tfevents.1709221404.b05a11540043.1523.5 +3 -0
  8. training_args.bin +1 -1
README.md CHANGED
@@ -6,8 +6,6 @@ tags:
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  model-index:
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  - name: mi_chatbotV2
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  results: []
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- language:
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- - es
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l/mdeberta-v3-base-squad2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6869
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  ## Model description
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@@ -48,9 +46,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 66 | 0.7145 |
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- | No log | 2.0 | 132 | 0.5833 |
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- | No log | 3.0 | 198 | 0.6869 |
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  ### Framework versions
@@ -58,4 +56,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.37.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.17.1
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- - Tokenizers 0.15.2
 
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  model-index:
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  - name: mi_chatbotV2
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l/mdeberta-v3-base-squad2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7635
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 66 | 1.4198 |
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+ | No log | 2.0 | 132 | 1.8198 |
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+ | No log | 3.0 | 198 | 1.7635 |
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  ### Framework versions
 
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  - Transformers 4.37.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.17.1
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+ - Tokenizers 0.15.2
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