End of training

README.md

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+---
+license: bigscience-bloom-rail-1.0
+tags:
+- generated_from_trainer
+model-index:
+- name: bloom-560m-finetuned-sd-prompts
+  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. -->
+
+# bloom-560m-finetuned-sd-prompts
+
+This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8742
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.6743        | 0.17  | 100  | 2.0891          |
+| 1.8919        | 0.33  | 200  | 1.7191          |
+| 1.5907        | 0.5   | 300  | 1.4454          |
+| 1.3865        | 0.67  | 400  | 1.3247          |
+| 1.2487        | 0.83  | 500  | 1.2150          |
+| 1.1565        | 1.0   | 600  | 1.1031          |
+| 0.896         | 1.17  | 700  | 1.0612          |
+| 0.8389        | 1.33  | 800  | 0.9994          |
+| 0.8071        | 1.5   | 900  | 0.9530          |
+| 0.7628        | 1.67  | 1000 | 0.9206          |
+| 0.7423        | 1.83  | 1100 | 0.8883          |
+| 0.7155        | 2.0   | 1200 | 0.8742          |
+
+
+### Framework versions
+
+- Transformers 4.22.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.1
+- Tokenizers 0.12.1

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