End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: muchad/idt5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- bleu
+model-index:
+- name: idt5-base-qg_adapter_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. -->
+
+# idt5-base-qg_adapter_v2
+
+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: 1.7027
+- Rouge1: 0.4239
+- Rouge2: 0.2060
+- Rougel: 0.3971
+- Rougelsum: 0.3972
+- Bleu: 0.1464
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu   |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
+| 2.4175        | 1.0   | 7645  | 1.8247          | 0.3744 | 0.1658 | 0.3462 | 0.3463    | 0.1167 |
+| 2.2718        | 2.0   | 15290 | 1.7606          | 0.4119 | 0.1957 | 0.3842 | 0.3843    | 0.1393 |
+| 2.2144        | 3.0   | 22935 | 1.7280          | 0.4211 | 0.2042 | 0.3939 | 0.3940    | 0.1450 |
+| 2.1661        | 4.0   | 30580 | 1.7066          | 0.4221 | 0.2050 | 0.3955 | 0.3956    | 0.1452 |
+| 2.1563        | 5.0   | 38225 | 1.7027          | 0.4239 | 0.2060 | 0.3971 | 0.3972    | 0.1464 |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.4.0a0+f70bd71a48.nv24.06
+- Datasets 3.0.2
+- Tokenizers 0.20.1

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": 64,
+  "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 28331904

special_tokens_map.json

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+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
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+    "lstrip": false,
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+    "single_word": false
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+    "lstrip": false,
+    "normalized": 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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+{
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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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+    "1": {
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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>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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