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-brainfuck
+  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-brainfuck
+
+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: 1.2112
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.3877        | 0.1   | 200  | 1.8023          |
+| 1.2576        | 0.19  | 400  | 1.7121          |
+| 1.1452        | 0.29  | 600  | 1.5469          |
+| 1.1503        | 0.39  | 800  | 1.6261          |
+| 1.0287        | 0.48  | 1000 | 1.5097          |
+| 1.0118        | 0.58  | 1200 | 1.4398          |
+| 1.0466        | 0.67  | 1400 | 1.4267          |
+| 0.9531        | 0.77  | 1600 | 1.4130          |
+| 0.8891        | 0.87  | 1800 | 1.4026          |
+| 0.9163        | 0.96  | 2000 | 1.4003          |
+| 0.7207        | 1.06  | 2200 | 1.3758          |
+| 0.7041        | 1.16  | 2400 | 1.3364          |
+| 0.7065        | 1.25  | 2600 | 1.3095          |
+| 0.7316        | 1.35  | 2800 | 1.2959          |
+| 0.6817        | 1.45  | 3000 | 1.2682          |
+| 0.6926        | 1.54  | 3200 | 1.2567          |
+| 0.6511        | 1.64  | 3400 | 1.2416          |
+| 0.6819        | 1.73  | 3600 | 1.2263          |
+| 0.6422        | 1.83  | 3800 | 1.2206          |
+| 0.6392        | 1.93  | 4000 | 1.2112          |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.13.0+cu117
+- Datasets 2.5.1
+- Tokenizers 0.13.0

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