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-the-stack-prolog
+  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-the-stack-prolog
+
+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: 0.2433
+
+## 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: 2
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2334        | 0.2   | 200  | 0.9993          |
+| 0.9174        | 0.4   | 400  | 0.7460          |
+| 0.7892        | 0.6   | 600  | 0.6046          |
+| 0.6805        | 0.8   | 800  | 0.4964          |
+| 0.5898        | 0.99  | 1000 | 0.4283          |
+| 0.411         | 1.19  | 1200 | 0.3721          |
+| 0.3705        | 1.39  | 1400 | 0.3182          |
+| 0.3516        | 1.59  | 1600 | 0.2795          |
+| 0.3298        | 1.79  | 1800 | 0.2528          |
+| 0.2721        | 1.99  | 2000 | 0.2433          |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.13.0+cu117
+- Datasets 2.5.1
+- Tokenizers 0.13.0

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