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fnet-large-finetuned-stsb

Text Classification
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Add checkpoints

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  1. README.md +78 -0
  2. all_results.json +16 -0
  3. checkpoint-1438/config.json +31 -0
  4. checkpoint-1438/optimizer.pt +3 -0
  5. checkpoint-1438/pytorch_model.bin +3 -0
  6. checkpoint-1438/rng_state.pth +3 -0
  7. checkpoint-1438/scheduler.pt +3 -0
  8. checkpoint-1438/special_tokens_map.json +1 -0
  9. checkpoint-1438/tokenizer.json +0 -0
  10. checkpoint-1438/tokenizer_config.json +1 -0
  11. checkpoint-1438/trainer_state.json +33 -0
  12. checkpoint-1438/training_args.bin +3 -0
  13. checkpoint-2876/config.json +31 -0
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  33. config.json +31 -0
  34. eval_results.json +11 -0
  35. pytorch_model.bin +3 -0
  36. runs/Sep24_18-20-37_patrick-general-gpu/1632507649.2059364/events.out.tfevents.1632507649.patrick-general-gpu.1107165.1 +3 -0
  37. runs/Sep24_18-20-37_patrick-general-gpu/events.out.tfevents.1632507649.patrick-general-gpu.1107165.0 +3 -0
  38. runs/Sep24_18-20-37_patrick-general-gpu/events.out.tfevents.1632509035.patrick-general-gpu.1107165.2 +3 -0
  39. special_tokens_map.json +1 -0
  40. tokenizer.json +0 -0
  41. tokenizer_config.json +1 -0
  42. train_results.json +8 -0
  43. trainer_state.json +76 -0
  44. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - glue
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+ metrics:
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+ - spearmanr
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+ model-index:
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+ - name: fnet-large-finetuned-stsb
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: GLUE STSB
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+ type: glue
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+ args: stsb
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+ metrics:
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+ - name: Spearmanr
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+ type: spearmanr
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+ value: 0.8532669137129205
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+ ---
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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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+
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+ # fnet-large-finetuned-stsb
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+
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+ This model is a fine-tuned version of [google/fnet-large](https://huggingface.co/google/fnet-large) on the GLUE STSB dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6250
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+ - Pearson: 0.8554
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+ - Spearmanr: 0.8533
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+ - Combined Score: 0.8543
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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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: 3.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
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+ | 1.0727 | 1.0 | 1438 | 0.7718 | 0.8187 | 0.8240 | 0.8214 |
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+ | 0.4619 | 2.0 | 2876 | 0.7704 | 0.8472 | 0.8500 | 0.8486 |
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+ | 0.2401 | 3.0 | 4314 | 0.6250 | 0.8554 | 0.8533 | 0.8543 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.11.0.dev0
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+ - Pytorch 1.9.0
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+ - Datasets 1.12.1
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+ - Tokenizers 0.10.3
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+ "eval_steps_per_second": 5.741,
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+ "train_loss": 0.5915702214990438,
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+ "train_steps_per_second": 3.191
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