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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-prompted-germanquad-1
+  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. -->
+
+# mt5-small-prompted-germanquad-1
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6835
+- Rouge1: 27.7309
+- Rouge2: 18.7311
+- Rougel: 27.4704
+- Rougelsum: 27.4818
+
+## 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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 3.3795        | 1.0   | 17496  | 2.0693          | 15.8652 | 9.2569  | 15.6237 | 15.6142   |
+| 2.3582        | 2.0   | 34992  | 1.9057          | 21.9348 | 14.0057 | 21.6769 | 21.6825   |
+| 2.1809        | 3.0   | 52488  | 1.8143          | 24.3401 | 16.0354 | 24.0862 | 24.0914   |
+| 2.0721        | 4.0   | 69984  | 1.7563          | 25.8672 | 17.2442 | 25.5854 | 25.6051   |
+| 2.0004        | 5.0   | 87480  | 1.7152          | 27.0275 | 18.0548 | 26.7561 | 26.7685   |
+| 1.9531        | 6.0   | 104976 | 1.6939          | 27.4702 | 18.5156 | 27.2027 | 27.2107   |
+| 1.9218        | 7.0   | 122472 | 1.6835          | 27.7309 | 18.7311 | 27.4704 | 27.4818   |
+
+
+### Framework versions
+
+- Transformers 4.14.1
+- Pytorch 1.10.1+cu102
+- Datasets 1.16.1
+- Tokenizers 0.10.3

config.json

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+{
+  "_name_or_path": "google/mt5-small",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
+  "d_ff": 1024,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "mt5",
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.14.1",
+  "use_cache": true,
+  "vocab_size": 250112
+}

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special_tokens_map.json

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tokenizer_config.json

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