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financial-twhin-bert-large-3labels-pesudo

Text Classification
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bert
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text-embeddings-inference
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End of training

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  1. README.md +8 -24
  2. model.safetensors +1 -1
  3. runs/Feb22_02-47-46_3a0d63f95e62/events.out.tfevents.1708571941.3a0d63f95e62.965.7 +3 -0
README.md CHANGED
@@ -14,13 +14,13 @@ model-index:
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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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- # financial-twhin-bert-large-3labels-dev2
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  This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3035
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- - Accuracy: 0.8948
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- - F1: 0.8932
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  ## Model description
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@@ -39,7 +39,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3.671821890679145e-05
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
@@ -52,25 +52,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.8977 | 0.15 | 100 | 0.6404 | 0.7428 | 0.6732 |
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- | 0.7036 | 0.3 | 200 | 0.8094 | 0.6326 | 0.6576 |
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- | 0.6344 | 0.46 | 300 | 0.5222 | 0.7961 | 0.8068 |
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- | 0.5275 | 0.61 | 400 | 0.4322 | 0.8372 | 0.8425 |
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- | 0.4899 | 0.76 | 500 | 0.5061 | 0.8249 | 0.8320 |
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- | 0.4723 | 0.91 | 600 | 0.3711 | 0.8631 | 0.8577 |
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- | 0.4345 | 1.06 | 700 | 0.3421 | 0.8833 | 0.8819 |
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- | 0.3524 | 1.21 | 800 | 0.3322 | 0.8811 | 0.8829 |
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- | 0.3288 | 1.37 | 900 | 0.4062 | 0.8696 | 0.8724 |
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- | 0.3566 | 1.52 | 1000 | 0.3035 | 0.8948 | 0.8932 |
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- | 0.3253 | 1.67 | 1100 | 0.3064 | 0.8934 | 0.8938 |
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- | 0.2861 | 1.82 | 1200 | 0.3336 | 0.8927 | 0.8932 |
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- | 0.2955 | 1.97 | 1300 | 0.3526 | 0.8970 | 0.8959 |
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- | 0.1759 | 2.12 | 1400 | 0.4498 | 0.8948 | 0.8942 |
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- | 0.171 | 2.28 | 1500 | 0.3863 | 0.8955 | 0.8950 |
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- | 0.1636 | 2.43 | 1600 | 0.4361 | 0.8869 | 0.8889 |
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- | 0.1431 | 2.58 | 1700 | 0.4124 | 0.8963 | 0.8967 |
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- | 0.1661 | 2.73 | 1800 | 0.4062 | 0.8984 | 0.8989 |
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- | 0.1549 | 2.88 | 1900 | 0.4041 | 0.8999 | 0.9002 |
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  ### Framework versions
 
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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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+ # financial-twhin-bert-large-3labels-pesudo
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  This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5193
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+ - Accuracy: 0.8646
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+ - F1: 0.8689
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2.6487905492726217e-06
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.2072 | 1.0 | 2908 | 0.5193 | 0.8646 | 0.8689 |
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+ | 0.1429 | 2.0 | 5816 | 0.5204 | 0.8890 | 0.8903 |
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+ | 0.1062 | 3.0 | 8724 | 0.5502 | 0.8862 | 0.8881 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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