credentek commited on
Commit
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End of training

Browse files
README.md CHANGED
@@ -1,7 +1,5 @@
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  ---
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  library_name: transformers
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- license: apache-2.0
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- base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -14,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # TenaliAI-FinTech-v1
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0009
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  ## Model description
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@@ -45,33 +43,33 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 14 | 2.1883 |
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- | No log | 2.0 | 28 | 1.3866 |
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- | No log | 3.0 | 42 | 0.6451 |
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- | No log | 4.0 | 56 | 0.2077 |
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- | No log | 5.0 | 70 | 0.0689 |
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- | No log | 6.0 | 84 | 0.0196 |
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- | No log | 7.0 | 98 | 0.0090 |
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- | No log | 8.0 | 112 | 0.0057 |
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- | No log | 9.0 | 126 | 0.0042 |
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- | No log | 10.0 | 140 | 0.0035 |
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- | No log | 11.0 | 154 | 0.0030 |
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- | No log | 12.0 | 168 | 0.0026 |
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- | No log | 13.0 | 182 | 0.0023 |
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- | No log | 14.0 | 196 | 0.0021 |
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- | No log | 15.0 | 210 | 0.0018 |
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- | No log | 16.0 | 224 | 0.0017 |
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- | No log | 17.0 | 238 | 0.0015 |
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- | No log | 18.0 | 252 | 0.0014 |
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- | No log | 19.0 | 266 | 0.0013 |
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- | No log | 20.0 | 280 | 0.0012 |
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- | No log | 21.0 | 294 | 0.0012 |
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- | No log | 22.0 | 308 | 0.0011 |
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- | No log | 23.0 | 322 | 0.0010 |
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- | No log | 24.0 | 336 | 0.0010 |
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- | No log | 25.0 | 350 | 0.0009 |
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76
 
77
  ### Framework versions
 
1
  ---
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  library_name: transformers
 
 
3
  tags:
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  - generated_from_trainer
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  model-index:
 
12
 
13
  # TenaliAI-FinTech-v1
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15
+ This model was trained from scratch on an unknown dataset.
16
  It achieves the following results on the evaluation set:
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+ - Loss: 0.9575
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19
  ## Model description
20
 
 
43
 
44
  ### Training results
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46
+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 2.1596 | 1.0 | 1251 | 1.5085 |
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+ | 1.1181 | 2.0 | 2502 | 1.0933 |
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+ | 1.0009 | 3.0 | 3753 | 1.0202 |
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+ | 0.922 | 4.0 | 5004 | 0.9683 |
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+ | 0.8721 | 5.0 | 6255 | 0.9575 |
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+ | 0.8498 | 6.0 | 7506 | 0.9721 |
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+ | 0.8363 | 7.0 | 8757 | 1.0118 |
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+ | 0.8239 | 9.0 | 11259 | 0.9728 |
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+ | 0.7947 | 11.0 | 13761 | 0.9947 |
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+ | 0.7951 | 12.0 | 15012 | 0.9905 |
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+ | 0.7967 | 14.0 | 17514 | 0.9984 |
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+ | 0.7666 | 15.0 | 18765 | 0.9918 |
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+ | 0.7788 | 16.0 | 20016 | 0.9955 |
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+ | 0.7832 | 17.0 | 21267 | 1.0130 |
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+ | 0.7615 | 18.0 | 22518 | 1.0061 |
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+ | 0.7666 | 19.0 | 23769 | 1.0104 |
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+ | 0.7685 | 20.0 | 25020 | 1.0144 |
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+ | 0.7367 | 21.0 | 26271 | 1.0275 |
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+ | 0.7609 | 22.0 | 27522 | 1.0371 |
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+ | 0.7663 | 23.0 | 28773 | 1.0271 |
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+ | 0.7564 | 24.0 | 30024 | 1.0498 |
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+ | 0.7478 | 25.0 | 31275 | 1.0385 |
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  ### Framework versions
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@@ -1,5 +1,5 @@
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- "_name_or_path": "bert-base-uncased",
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  "architectures": [
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@@ -10,110 +10,178 @@
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  "layer_norm_eps": 1e-12,
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