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Model: llam9/por1-large
Source: Original Platform

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: por1-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. -->
+
+# por1-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: 3.8243
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 5.2377        | 1.0   | 199  | 4.7570          |
+| 4.5775        | 2.0   | 398  | 4.4276          |
+| 4.4104        | 3.0   | 597  | 4.2903          |
+| 4.3513        | 4.0   | 796  | 4.1978          |
+| 4.1994        | 5.0   | 995  | 4.1112          |
+| 4.1218        | 6.0   | 1194 | 4.0284          |
+| 4.0366        | 7.0   | 1393 | 3.9422          |
+| 3.938         | 8.0   | 1592 | 3.8810          |
+| 3.9293        | 9.0   | 1791 | 3.8417          |
+| 3.8732        | 10.0  | 1990 | 3.8243          |
+
+
+### Framework versions
+
+- Transformers 4.53.0
+- Pytorch 2.4.1+cu121
+- Datasets 2.14.7
+- Tokenizers 0.21.0