End of training

README.md

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+---
+license: bigscience-bloom-rail-1.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: bigscience/bloom-1b1
+model-index:
+- name: remote_sensing_gpt_expt
+  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. -->
+
+# remote_sensing_gpt_expt
+
+This model is a fine-tuned version of [bigscience/bloom-1b1](https://huggingface.co/bigscience/bloom-1b1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.9534
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 5.3074        | 1.0   | 829  | 5.0583          |
+| 5.0106        | 2.0   | 1658 | 4.9751          |
+| 4.9701        | 3.0   | 2487 | 4.9534          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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