SeyedAli/Persian-Text-paraphraser-mT5-V1

README.md

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+---
+base_model: erfan226/persian-t5-paraphraser
+tags:
+- generated_from_trainer
+model-index:
+- name: output
+  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. -->
+
+# output
+
+This model is a fine-tuned version of [erfan226/persian-t5-paraphraser](https://huggingface.co/erfan226/persian-t5-paraphraser) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2334
+
+## 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: 2e-05
+- train_batch_size: 5
+- eval_batch_size: 5
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 160  | 0.4026          |
+| No log        | 2.0   | 320  | 0.2853          |
+| No log        | 3.0   | 480  | 0.2543          |
+| 1.5981        | 4.0   | 640  | 0.2466          |
+| 1.5981        | 5.0   | 800  | 0.2408          |
+| 1.5981        | 6.0   | 960  | 0.2367          |
+| 0.3535        | 7.0   | 1120 | 0.2363          |
+| 0.3535        | 8.0   | 1280 | 0.2344          |
+| 0.3535        | 9.0   | 1440 | 0.2334          |
+| 0.3151        | 10.0  | 1600 | 0.2334          |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+  "architectures": [
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+  "d_kv": 64,
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+  "dropout_rate": 0.1,
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+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
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+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
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+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.1",
+  "use_cache": true,
+  "vocab_size": 32103
+}

generation_config.json

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+  "eos_token_id": 1,
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+  "transformers_version": "4.33.1"
+}

pytorch_model.bin

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