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Model: ErikDaska/lr_2e-04-sft
Source: Original Platform

README.md

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+---
+library_name: transformers
+base_model: ErikDaska/lr_2e-04_v2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: lr_2e-04-sft
+  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. -->
+
+# lr_2e-04-sft
+
+This model is a fine-tuned version of [ErikDaska/lr_2e-04_v2.0](https://huggingface.co/ErikDaska/lr_2e-04_v2.0) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7796
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 0.03
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0792        | 0.4444 | 200  | 0.9389          |
+| 0.9923        | 0.8889 | 400  | 0.8776          |
+| 0.9370        | 1.3333 | 600  | 0.8430          |
+| 0.9298        | 1.7778 | 800  | 0.8208          |
+| 0.8879        | 2.2222 | 1000 | 0.8084          |
+| 0.8611        | 2.6667 | 1200 | 0.7948          |
+| 0.8314        | 3.1111 | 1400 | 0.7884          |
+| 0.7953        | 3.5556 | 1600 | 0.7852          |
+| 0.8559        | 4.0    | 1800 | 0.7795          |
+| 0.8336        | 4.4444 | 2000 | 0.7800          |
+| 0.7885        | 4.8889 | 2200 | 0.7796          |
+| 0.8192        | 5.0    | 2250 | 0.7796          |
+
+
+### Framework versions
+
+- Transformers 5.10.2
+- Pytorch 2.11.0+cu128
+- Datasets 5.0.0
+- Tokenizers 0.22.2