End of training

README.md

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+---
+base_model: muchad/idt5-base
+library_name: peft
+license: apache-2.0
+metrics:
+- rouge
+- bleu
+tags:
+- generated_from_trainer
+model-index:
+- name: idt5-base-ae_adapter
+  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. -->
+
+# idt5-base-ae_adapter
+
+This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1132
+- Rouge1: 0.3358
+- Rouge2: 0.1831
+- Rougel: 0.3088
+- Rougelsum: 0.3109
+- Bleu: 0.1408
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu   |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
+| 1.35          | 1.0   | 3390  | 1.2546          | 0.2972 | 0.1424 | 0.2697 | 0.2722    | 0.1256 |
+| 1.1749        | 2.0   | 6780  | 1.1832          | 0.3197 | 0.1655 | 0.2940 | 0.2961    | 0.1313 |
+| 1.1447        | 3.0   | 10170 | 1.1313          | 0.3279 | 0.1742 | 0.3024 | 0.3043    | 0.1372 |
+| 1.1106        | 4.0   | 13560 | 1.1294          | 0.3308 | 0.1790 | 0.3045 | 0.3065    | 0.1386 |
+| 1.0842        | 5.0   | 16950 | 1.1132          | 0.3358 | 0.1831 | 0.3088 | 0.3109    | 0.1408 |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "muchad/idt5-base",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v",
+    "q"
+  ],
+  "task_type": "SEQ_2_SEQ_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 3558888

special_tokens_map.json

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+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
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+  "unk_token": {
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+    "lstrip": false,
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+    "single_word": false
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+}

spiece.model

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tokenizer_config.json

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+  "added_tokens_decoder": {
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+      "lstrip": false,
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+      "single_word": false,
+      "special": true
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+  "additional_special_tokens": [],
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "extra_ids": 0,
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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