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abhinavp
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debug_fict-full-lstm-42

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PyTorch
rnn
Generated from Trainer
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  1. README.md +15 -15
README.md CHANGED
@@ -2,18 +2,18 @@
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: dummy_fict-full-lstm-42
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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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  should probably proofread and complete it, then remove this comment. -->
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- # dummy_fict-full-lstm-42
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 7.8141
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  ## Model description
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@@ -44,18 +44,18 @@ 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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- | 10.813 | 0.08 | 10 | 10.8032 |
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- | 10.793 | 0.16 | 20 | 10.7786 |
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- | 10.7565 | 0.24 | 30 | 10.7117 |
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- | 10.5835 | 0.32 | 40 | 10.2088 |
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- | 9.8124 | 0.4 | 50 | 9.1973 |
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- | 9.0079 | 0.48 | 60 | 8.6022 |
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- | 8.5534 | 0.56 | 70 | 8.2718 |
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- | 8.3394 | 0.64 | 80 | 8.0790 |
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- | 8.2026 | 0.72 | 90 | 7.9587 |
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- | 8.0804 | 0.8 | 100 | 7.8829 |
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- | 8.0245 | 0.88 | 110 | 7.8368 |
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- | 8.0949 | 0.96 | 120 | 7.8141 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: debug_fict-full-lstm-42
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # debug_fict-full-lstm-42
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 7.8326
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 10.8138 | 0.08 | 10 | 10.8042 |
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+ | 10.7946 | 0.16 | 20 | 10.7810 |
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+ | 10.7603 | 0.24 | 30 | 10.7205 |
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+ | 10.6159 | 0.32 | 40 | 10.2845 |
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+ | 9.881 | 0.4 | 50 | 9.2412 |
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+ | 9.0551 | 0.48 | 60 | 8.6320 |
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+ | 8.5603 | 0.56 | 70 | 8.3005 |
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+ | 8.3761 | 0.64 | 80 | 8.1058 |
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+ | 8.2158 | 0.72 | 90 | 7.9828 |
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+ | 8.0922 | 0.8 | 100 | 7.9046 |
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+ | 8.0326 | 0.88 | 110 | 7.8563 |
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+ | 8.1135 | 0.96 | 120 | 7.8326 |
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  ### Framework versions