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-qg_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-qg_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: 1.6825
+- Rouge1: 0.4305
+- Rouge2: 0.2112
+- Rougel: 0.4035
+- Rougelsum: 0.4037
+- Bleu: 0.1491
+
+## 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   |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
+| 2.381         | 1.0   | 15289 | 1.8003          | 0.3963 | 0.1873 | 0.3693 | 0.3693    | 0.1330 |
+| 2.2131        | 2.0   | 30578 | 1.7265          | 0.4244 | 0.2052 | 0.3962 | 0.3964    | 0.1456 |
+| 2.1822        | 3.0   | 45867 | 1.7086          | 0.4279 | 0.2094 | 0.4004 | 0.4006    | 0.1483 |
+| 2.1374        | 4.0   | 61156 | 1.6846          | 0.4283 | 0.2110 | 0.4018 | 0.4019    | 0.1494 |
+| 2.1217        | 5.0   | 76445 | 1.6825          | 0.4305 | 0.2112 | 0.4035 | 0.4037    | 0.1491 |
+
+
+### 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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special_tokens_map.json

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spiece.model

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tokenizer_config.json

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+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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