End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: CohereForAI/aya-23-8B
+tags:
+- generated_from_trainer
+model-index:
+- name: AYA-CLM-DSM-NoOerlap
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# AYA-CLM-DSM-NoOerlap
+
+This model is a fine-tuned version of [CohereForAI/aya-23-8B](https://huggingface.co/CohereForAI/aya-23-8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1005
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 22
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 5    | 2.1842          |
+| No log        | 2.0   | 10   | 2.1059          |
+| No log        | 3.0   | 15   | 2.1013          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+  "eos_token_id": 255001,
+  "pad_token_id": 0,
+  "transformers_version": "4.41.2"
+}

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