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--- |
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license: bigscience-bloom-rail-1.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bloom-560m-finetuned-the-stack-prolog |
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results: [] |
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widget: |
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- text: '% Define un hecho que indica que "hello" es un saludo |
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saludo("hello"). |
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% Define una regla que indica que "world" es un objeto |
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objeto("world"). |
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% Define una regla que combina el saludo y el objeto para producir la salida "Hola mundo" |
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hola_mundo :-' |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bloom-560m-finetuned-the-stack-prolog |
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This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2433 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.2334 | 0.2 | 200 | 0.9993 | |
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| 0.9174 | 0.4 | 400 | 0.7460 | |
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| 0.7892 | 0.6 | 600 | 0.6046 | |
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| 0.6805 | 0.8 | 800 | 0.4964 | |
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| 0.5898 | 0.99 | 1000 | 0.4283 | |
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| 0.411 | 1.19 | 1200 | 0.3721 | |
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| 0.3705 | 1.39 | 1400 | 0.3182 | |
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| 0.3516 | 1.59 | 1600 | 0.2795 | |
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| 0.3298 | 1.79 | 1800 | 0.2528 | |
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| 0.2721 | 1.99 | 2000 | 0.2433 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.5.1 |
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- Tokenizers 0.13.0 |
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