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ArmanAsq
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distilgpt2-CLM-DSM-NoOerlap

Text Generation
Transformers
Safetensors
cohere
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
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  1. README.md +11 -19
  2. generation_config.json +3 -2
  3. model-00001-of-00007.safetensors +3 -0
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README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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- license: mit
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- base_model: gpt2
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilgpt2-CLM-DSM-NoOerlap
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- This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.4813
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  ## Model description
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@@ -34,29 +34,21 @@ 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: 2e-05
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- - train_batch_size: 64
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- - eval_batch_size: 64
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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: 10
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- - mixed_precision_training: Native AMP
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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 | 58 | 2.7538 |
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- | No log | 2.0 | 116 | 2.6483 |
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- | No log | 3.0 | 174 | 2.5928 |
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- | No log | 4.0 | 232 | 2.5566 |
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- | No log | 5.0 | 290 | 2.5312 |
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- | No log | 6.0 | 348 | 2.5121 |
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- | No log | 7.0 | 406 | 2.4979 |
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- | No log | 8.0 | 464 | 2.4889 |
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- | 2.6537 | 9.0 | 522 | 2.4830 |
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- | 2.6537 | 10.0 | 580 | 2.4813 |
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  ### Framework versions
 
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  ---
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+ license: cc-by-nc-4.0
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+ base_model: CohereForAI/aya-23-8B
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # distilgpt2-CLM-DSM-NoOerlap
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+ This model is a fine-tuned version of [CohereForAI/aya-23-8B](https://huggingface.co/CohereForAI/aya-23-8B) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7748
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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: 2e-06
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+ - train_batch_size: 16
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+ - eval_batch_size: 2
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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
 
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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 | 110 | 1.8213 |
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+ | No log | 2.0 | 220 | 1.7672 |
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+ | No log | 3.0 | 330 | 1.7748 |
 
 
 
 
 
 
 
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  ### Framework versions
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