End of training

README.md

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+---
+license: apache-2.0
+base_model: EleutherAI/pythia-2.8b
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: jeffrey-walker-teal
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/arianhosseini/huggingface/runs/vakrdi64)
+# jeffrey-walker-teal
+
+This model is a fine-tuned version of [EleutherAI/pythia-2.8b](https://huggingface.co/EleutherAI/pythia-2.8b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.8984
+- Accuracy: 0.4
+
+## 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 16
+- seed: 24
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 2500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 0.1422        | 8.5561  | 400  | 4.6875          | 0.4      |
+| 0.0121        | 17.1123 | 800  | 6.6641          | 0.5      |
+| 0.0           | 25.6684 | 1200 | 4.7148          | 0.8      |
+| 0.028         | 34.2246 | 1600 | 6.6992          | 0.7      |
+| 0.0041        | 42.7807 | 2000 | 7.4570          | 0.4      |
+| 0.0021        | 51.3369 | 2400 | 7.8984          | 0.4      |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.1.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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