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Model: llam9/eng1-large
Source: Original Platform

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: eng1-large
+  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. -->
+
+# eng1-large
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6418
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.4203        | 1.0   | 2955  | 3.3579          |
+| 2.9849        | 2.0   | 5910  | 2.9797          |
+| 2.7942        | 3.0   | 8865  | 2.8564          |
+| 2.7439        | 4.0   | 11820 | 2.7862          |
+| 2.7095        | 5.0   | 14775 | 2.7377          |
+| 2.7316        | 6.0   | 17730 | 2.7029          |
+| 2.6551        | 7.0   | 20685 | 2.6778          |
+| 2.6195        | 8.0   | 23640 | 2.6603          |
+| 2.5955        | 9.0   | 26595 | 2.6479          |
+| 2.5775        | 10.0  | 29550 | 2.6418          |
+
+
+### Framework versions
+
+- Transformers 4.53.0
+- Pytorch 2.4.1+cu121
+- Datasets 2.14.7
+- Tokenizers 0.21.0