NowaBwagel0 commited on
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End of training

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README.md CHANGED
@@ -1,67 +1,67 @@
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- ---
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- license: other
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- base_model: NowaBwagel0/llama-68m-oasst
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- tags:
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- - generated_from_trainer
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- model-index:
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- - name: llama-68m-oasst
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- results: []
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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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- # llama-68m-oasst
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-
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- This model is a fine-tuned version of [NowaBwagel0/llama-68m-oasst](https://huggingface.co/NowaBwagel0/llama-68m-oasst) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 2.5789
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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: 4
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- - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 8
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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: 9
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 2.419 | 1.0 | 382 | 2.5825 |
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- | 2.3379 | 2.0 | 765 | 2.5723 |
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- | 2.342 | 3.0 | 1147 | 2.5697 |
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- | 2.2454 | 4.0 | 1530 | 2.5703 |
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- | 2.2138 | 5.0 | 1912 | 2.5706 |
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- | 2.2369 | 6.0 | 2295 | 2.5736 |
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- | 2.1838 | 7.0 | 2677 | 2.5762 |
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- | 2.1834 | 8.0 | 3060 | 2.5769 |
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- | 2.0677 | 8.99 | 3438 | 2.5789 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.36.2
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- - Pytorch 2.1.2+cu121
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- - Datasets 2.16.0
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- - Tokenizers 0.15.0
 
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+ ---
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+ license: other
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+ base_model: NowaBwagel0/llama-68m-oasst
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: llama-68m-oasst
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+ results: []
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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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+ # llama-68m-oasst
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+
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+ This model is a fine-tuned version of [NowaBwagel0/llama-68m-oasst](https://huggingface.co/NowaBwagel0/llama-68m-oasst) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.6231
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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: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 8
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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: 9
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 2.197 | 0.9987 | 382 | 2.5801 |
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+ | 2.1256 | 2.0 | 765 | 2.5814 |
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+ | 2.0953 | 2.9987 | 1147 | 2.5903 |
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+ | 2.1023 | 4.0 | 1530 | 2.5968 |
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+ | 2.0331 | 4.9987 | 1912 | 2.6012 |
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+ | 2.0151 | 6.0 | 2295 | 2.6076 |
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+ | 1.9609 | 6.9987 | 2677 | 2.6150 |
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+ | 1.9311 | 8.0 | 3060 | 2.6203 |
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+ | 1.9812 | 8.9882 | 3438 | 2.6231 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
generation_config.json CHANGED
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- "eos_token_id": 2,
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- "pad_token_id": 1,
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- "transformers_version": "4.36.2"
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- }
 
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