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Shresthadev403
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ner-bert-ingredients

Token Classification
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TensorBoard
Safetensors
bert
Generated from Trainer
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Shresthadev403 commited on
Commit
8567f52
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1 Parent(s): 2e7a892

End of training

Browse files
Files changed (6) hide show
  1. README.md +5 -4
  2. model.safetensors +1 -1
  3. runs/Jan05_08-13-40_414819e23027/events.out.tfevents.1704442424.414819e23027.9579.18 +2 -2
  4. runs/Jan05_08-15-17_414819e23027/events.out.tfevents.1704442521.414819e23027.9579.19 +3 -0
  5. trainer_state.json +5 -5
  6. training_args.bin +1 -1
README.md CHANGED
@@ -13,10 +13,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 4.4277
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- - eval_runtime: 0.0432
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- - eval_samples_per_second: 46.32
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- - eval_steps_per_second: 23.16
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  - epoch: 1.0
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  - step: 1
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@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - num_epochs: 50
 
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  ### Framework versions
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 4.4161
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+ - eval_runtime: 0.0471
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+ - eval_samples_per_second: 42.424
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+ - eval_steps_per_second: 21.212
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  - epoch: 1.0
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  - step: 1
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - num_epochs: 50
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+ - mixed_precision_training: Native AMP
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  ### Framework versions
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  {
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- "loss": 1.7032,
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  "step": 1
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  {
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  "epoch": 1.0,
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- "eval_loss": 4.427746772766113,
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- "eval_samples_per_second": 46.32,
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  {
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  "epoch": 1.0,
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  "learning_rate": 4.9e-05,
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  "epoch": 1.0,
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