End of training

README.md

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+---
+license: apache-2.0
+base_model: bakrianoo/t5-arabic-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: results_ara_t5_v2
+  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. -->
+
+# results_ara_t5_v2
+
+This model is a fine-tuned version of [bakrianoo/t5-arabic-base](https://huggingface.co/bakrianoo/t5-arabic-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Gen Len: 19.0
+- Loss: 0.0001
+- Rouge1: 0.0875
+- Rouge2: 0.0046
+- Rougel: 0.0871
+- Rougelsum: 0.0873
+
+## 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: 5e-05
+- 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
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:-----:|:-------:|:---------------:|:------:|:------:|:------:|:---------:|
+| 5.4255        | 0.43  | 500   | 18.8641 | 0.0292          | 0.0123 | 0.0028 | 0.0122 | 0.0122    |
+| 0.0975        | 0.86  | 1000  | 18.7006 | 0.0101          | 0.0146 | 0.0038 | 0.0146 | 0.0146    |
+| 0.0321        | 1.29  | 1500  | 18.5583 | 0.0077          | 0.078  | 0.0046 | 0.0779 | 0.078     |
+| 0.0237        | 1.71  | 2000  | 18.7994 | 0.0075          | 0.0806 | 0.0066 | 0.0809 | 0.0805    |
+| 0.0182        | 2.14  | 2500  | 19.0    | 0.0072          | 0.0761 | 0.0023 | 0.0759 | 0.076     |
+| 0.0148        | 2.57  | 3000  | 18.8528 | 0.0069          | 0.0952 | 0.0061 | 0.0957 | 0.0951    |
+| 0.0156        | 3.0   | 3500  | 19.0    | 0.0064          | 0.0773 | 0.0036 | 0.0772 | 0.0772    |
+| 0.0126        | 3.43  | 4000  | 18.5583 | 0.0060          | 0.0859 | 0.0038 | 0.0862 | 0.0862    |
+| 0.0165        | 3.86  | 4500  | 18.8528 | 0.0056          | 0.0832 | 0.0075 | 0.0835 | 0.0833    |
+| 0.0101        | 4.28  | 5000  | 19.0    | 0.0047          | 0.0846 | 0.0052 | 0.0853 | 0.0848    |
+| 0.0089        | 4.71  | 5500  | 19.0    | 0.0022          | 0.0874 | 0.0046 | 0.0871 | 0.0873    |
+| 0.0063        | 5.14  | 6000  | 19.0    | 0.0009          | 0.0875 | 0.0046 | 0.0871 | 0.0873    |
+| 0.0051        | 5.57  | 6500  | 19.0    | 0.0003          | 0.0875 | 0.0046 | 0.0871 | 0.0873    |
+| 0.0042        | 6.0   | 7000  | 19.0    | 0.0002          | 0.0875 | 0.0046 | 0.0871 | 0.0873    |
+| 0.0037        | 6.43  | 7500  | 19.0    | 0.0002          | 0.0875 | 0.0046 | 0.0871 | 0.0873    |
+| 0.0035        | 6.86  | 8000  | 19.0    | 0.0001          | 0.0875 | 0.0046 | 0.0871 | 0.0873    |
+| 0.003         | 7.28  | 8500  | 19.0    | 0.0001          | 0.0875 | 0.0046 | 0.0871 | 0.0873    |
+| 0.0027        | 7.71  | 9000  | 19.0    | 0.0001          | 0.0875 | 0.0046 | 0.0871 | 0.0873    |
+| 0.0024        | 8.14  | 9500  | 19.0    | 0.0001          | 0.0875 | 0.0046 | 0.0871 | 0.0873    |
+| 0.0023        | 8.57  | 10000 | 19.0    | 0.0001          | 0.0875 | 0.0046 | 0.0871 | 0.0873    |
+| 0.0022        | 9.0   | 10500 | 19.0    | 0.0001          | 0.0875 | 0.0046 | 0.0871 | 0.0873    |
+| 0.002         | 9.43  | 11000 | 19.0    | 0.0001          | 0.0875 | 0.0046 | 0.0871 | 0.0873    |
+| 0.0019        | 9.85  | 11500 | 19.0    | 0.0001          | 0.0875 | 0.0046 | 0.0871 | 0.0873    |
+
+
+### Framework versions
+
+- Transformers 4.40.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "bakrianoo/t5-arabic-base",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "gradient_checkpointing": false,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "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,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.0.dev0",
+  "use_cache": true,
+  "vocab_size": 35000
+}

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.0.dev0"
+}

pytorch_model.bin

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special_tokens_map.json

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+    "rstrip": false,
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spiece.model

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tokenizer_config.json

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+  "add_prefix_space": true,
+  "added_tokens_decoder": {
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+      "lstrip": false,
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+      "special": true
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+  "additional_special_tokens": [],
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "</s>",
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+  "legacy": true,
+  "max_new_tokens": 512,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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