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-wikilingua-spanish-summarization
+  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-wikilingua-spanish-summarization
+
+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: 2.1223
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.4768        | 0.07  | 500   | 2.4828          |
+| 2.428         | 0.14  | 1000  | 2.4125          |
+| 2.4           | 0.2   | 1500  | 2.3927          |
+| 2.3685        | 0.27  | 2000  | 2.3506          |
+| 2.3287        | 0.34  | 2500  | 2.3340          |
+| 2.3196        | 0.41  | 3000  | 2.3284          |
+| 2.2885        | 0.48  | 3500  | 2.3005          |
+| 2.2646        | 0.55  | 4000  | 2.2944          |
+| 2.2676        | 0.68  | 5000  | 2.2575          |
+| 2.2267        | 0.82  | 6000  | 2.2281          |
+| 2.1971        | 0.95  | 7000  | 2.2018          |
+| 2.009         | 1.09  | 8000  | 2.1925          |
+| 1.9989        | 1.23  | 9000  | 2.1765          |
+| 2.0131        | 1.36  | 10000 | 2.1666          |
+| 1.9765        | 1.5   | 11000 | 2.1514          |
+| 1.9449        | 1.64  | 12000 | 2.1404          |
+| 1.9399        | 1.77  | 13000 | 2.1297          |
+| 1.957         | 1.91  | 14000 | 2.1223          |
+
+
+### Framework versions
+
+- Transformers 4.23.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.1
+- Tokenizers 0.13.0

emissions.csv

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