Model save

README.md

@@ -0,0 +1,59 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: tiny_t5_de
+  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. -->
+
+# tiny_t5_de
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1458
+
+## 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: 0.0005
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.246         | 0.75  | 21117 | 0.2172          |
+| 0.1983        | 1.5   | 42234 | 0.1714          |
+| 0.1772        | 2.25  | 63351 | 0.1535          |
+| 0.1751        | 3.0   | 84468 | 0.1458          |
+
+
+### Framework versions
+
+- Transformers 4.56.2
+- Pytorch 2.8.0+cu128
+- Datasets 4.1.1
+- Tokenizers 0.22.1

final/added_tokens.json

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 }

final/config.json

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   "relative_attention_num_buckets": 32,
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   "use_cache": true,
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+  "vocab_size": 8100
 }

final/model.safetensors

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final/spiece.model

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final/tokenizer_config.json

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final/training_args.bin

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 size 5905

generation_config.json

@@ -0,0 +1,10 @@
+{
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+  "decoder_start_token_id": 1,
+  "eos_token_id": [
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+  "transformers_version": "4.56.2"
+}