End of training

README.md

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+---
+language:
+- en
+base_model: meta/instruction
+tags:
+- hih
+- generated_from_trainer
+datasets:
+- rajj0/AbstractAI
+model-index:
+- name: AbstractAI-LLaMA-7b
+  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. -->
+
+# AbstractAI-LLaMA-7b
+
+This model is a fine-tuned version of [meta/instruction](https://huggingface.co/meta/instruction) on the AbstractAI dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6270
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7854        | 0.24  | 20   | 1.7964          |
+| 1.6215        | 0.49  | 40   | 1.6849          |
+| 1.6423        | 0.73  | 60   | 1.6501          |
+| 1.5844        | 0.98  | 80   | 1.6270          |
+
+
+### Framework versions
+
+- Transformers 4.35.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.14.0

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