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-aeslc
+  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-aeslc
+
+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: 3.4199
+
+## 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: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.994         | 0.62  | 200  | 3.0855          |
+| 2.4454        | 1.23  | 400  | 3.0508          |
+| 2.3019        | 1.85  | 600  | 2.9731          |
+| 1.7647        | 2.46  | 800  | 3.1036          |
+| 1.636         | 3.08  | 1000 | 3.4199          |
+| 1.2469        | 3.69  | 1200 | 3.5381          |
+| 0.8443        | 4.31  | 1400 | 4.0697          |
+| 0.8214        | 4.92  | 1600 | 4.0181          |
+| 0.5355        | 5.54  | 1800 | 4.7636          |
+
+
+### Framework versions
+
+- Transformers 4.22.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.1
+- Tokenizers 0.12.1

runs/Sep29_09-45-54_24881d5bb7d9/events.out.tfevents.1664444783.24881d5bb7d9.67.0

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