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kanishka
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smolm-autoreg-bpe-seed_666

Text Generation
Transformers
PyTorch
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opt
generated_from_trainer
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text-generation-inference
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  1. README.md +21 -22
  2. generation_config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Mar25_21-06-31_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1711418810.phyl-ling-p01.la.utexas.edu.1054509.0 +2 -2
README.md CHANGED
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  ---
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- base_model: models/smolm-autoreg-bpe-seed_666/config.json
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -14,10 +13,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # smolm-autoreg-bpe-seed_666
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- This model is a fine-tuned version of [models/smolm-autoreg-bpe-seed_666/config.json](https://huggingface.co/models/smolm-autoreg-bpe-seed_666/config.json) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.5555
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- - Accuracy: 0.4867
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.003
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- - train_batch_size: 64
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- - eval_batch_size: 512
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  - seed: 666
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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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 6.1031 | 1.0 | 732 | 3.5406 | 0.3939 |
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- | 3.4871 | 2.0 | 1464 | 3.1173 | 0.4331 |
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- | 2.9412 | 3.0 | 2196 | 2.9173 | 0.4495 |
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- | 2.8011 | 4.0 | 2928 | 2.7835 | 0.4618 |
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- | 2.6172 | 5.0 | 3660 | 2.6977 | 0.4710 |
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- | 2.5378 | 6.0 | 4392 | 2.6400 | 0.4764 |
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- | 2.4512 | 7.0 | 5124 | 2.6059 | 0.4803 |
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- | 2.4037 | 8.0 | 5856 | 2.5811 | 0.4836 |
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- | 2.3624 | 9.0 | 6588 | 2.5712 | 0.4845 |
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- | 2.3246 | 10.0 | 7320 | 2.5555 | 0.4867 |
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  ### Framework versions
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- - Transformers 4.32.1
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- - Pytorch 2.0.1+cu117
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- - Datasets 2.12.0
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- - Tokenizers 0.13.3
 
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  ---
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # smolm-autoreg-bpe-seed_666
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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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+ - Loss: 2.4754
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+ - Accuracy: 0.4997
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.003
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+ - train_batch_size: 16
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+ - eval_batch_size: 128
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  - seed: 666
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 3.0568 | 1.0 | 2928 | 3.0170 | 0.4376 |
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+ | 2.7079 | 2.0 | 5856 | 2.7879 | 0.4585 |
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+ | 2.5856 | 3.0 | 8784 | 2.6924 | 0.4706 |
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+ | 2.5108 | 4.0 | 11712 | 2.6403 | 0.4762 |
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+ | 2.4576 | 5.0 | 14640 | 2.6072 | 0.4796 |
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+ | 2.423 | 6.0 | 17568 | 2.5828 | 0.4825 |
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+ | 2.3921 | 7.0 | 20496 | 2.5670 | 0.4854 |
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+ | 2.3602 | 8.0 | 23424 | 2.5533 | 0.4871 |
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+ | 2.2861 | 9.0 | 26352 | 2.5010 | 0.4942 |
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+ | 2.1381 | 10.0 | 29280 | 2.4754 | 0.4997 |
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  ### Framework versions
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
generation_config.json CHANGED
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  "eos_token_id": 2,
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  "pad_token_id": 0,
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- "transformers_version": "4.32.1"
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  }
 
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  "eos_token_id": 2,
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  "pad_token_id": 0,
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+ "transformers_version": "4.38.2"
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