Finetuned version

README.md

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 ---
 license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+datasets:
+- versae/modernisa
+model-index:
+- name: byt5-base-finetuned-modernisa
+  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. -->
+
+# byt5-base-finetuned-modernisa
+
+This model is a fine-tuned version of [google/byt5-base](https://huggingface.co/google/byt5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1176
+- Bleu: 44.888
+- Gen Len: 18.4465
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 0.1474        | 0.35  | 10000 | 0.1360          | 42.8789 | 18.4441 |
+| 0.1328        | 0.71  | 20000 | 0.1303          | 43.5394 | 18.4368 |
+| 0.1216        | 1.06  | 30000 | 0.1245          | 44.1557 | 18.4384 |
+| 0.1167        | 1.42  | 40000 | 0.1219          | 44.1961 | 18.4449 |
+| 0.1065        | 1.77  | 50000 | 0.1192          | 44.7353 | 18.443  |
+| 0.099         | 2.13  | 60000 | 0.1195          | 44.522  | 18.4524 |
+| 0.088         | 2.48  | 70000 | 0.1192          | 44.8243 | 18.4441 |
+| 0.0907        | 2.84  | 80000 | 0.1176          | 44.888  | 18.4465 |
+
+
+### Framework versions
+
+- Transformers 4.13.0.dev0
+- Pytorch 1.10.0+cu111
+- Datasets 1.15.2.dev0
+- Tokenizers 0.10.3

config.json

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+{
+  "_name_or_path": "google/byt5-base",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 3968,
+  "d_kv": 64,
+  "d_model": 1536,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "gradient_checkpointing": false,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 6,
+  "num_heads": 12,
+  "num_layers": 18,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "ByT5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.13.0.dev0",
+  "use_cache": true,
+  "vocab_size": 384
+}

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