Model save

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: amharic_text_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. -->
+
+# amharic_text_summarization
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 2.5081
+- eval_rouge1: 12.4057
+- eval_rouge2: 6.0471
+- eval_rougeL: 11.8776
+- eval_rougeLsum: 11.7941
+- eval_runtime: 16.1144
+- eval_samples_per_second: 6.392
+- eval_steps_per_second: 0.807
+- epoch: 4.0
+- step: 260
+
+## 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: 5.6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

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