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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+opt_2.7b_wiki_ce - bnb 4bits
+- Model creator: https://huggingface.co/ellen625/
+- Original model: https://huggingface.co/ellen625/opt_2.7b_wiki_ce/
+
+
+
+
+Original model description:
+---
+license: other
+tags:
+- generated_from_trainer
+base_model: facebook/opt-1.3b
+model-index:
+- name: opt_2.7b_wiki_ce
+  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. -->
+
+# opt_2.7b_wiki_ce
+
+This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4190
+
+## 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: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.6033        | 0.4354 | 500  | 2.4562          |
+| 2.5267        | 0.8707 | 1000 | 2.4247          |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.2
+- Datasets 2.19.1
+- Tokenizers 0.19.1
+
+