End of training

README.md

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+---
+license: llama2
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- dialogstudio
+base_model: TencentARC/LLaMA-Pro-8B
+model-index:
+- name: llama-pro-8b-tweet-summarization-gradnorm-0.3
+  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. -->
+
+# llama-pro-8b-tweet-summarization-gradnorm-0.3
+
+This model is a fine-tuned version of [TencentARC/LLaMA-Pro-8B](https://huggingface.co/TencentARC/LLaMA-Pro-8B) on the dialogstudio dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9796
+- Rouge Scores: {'rouge1': 93.71888929189157, 'rouge2': 77.8377567936117, 'rougeL': 64.47906852741538, 'rougeLsum': 93.71298018429633}
+- Bleu Scores: [0.9470990193868204, 0.9341779145832757, 0.9064440397746264, 0.8744914403659334]
+- Gen Len: 463.0182
+
+## 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: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 7
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge Scores                                                                                                             | Bleu Scores                                                                      | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:--------:|
+| 1.9065        | 1.0   | 220  | 1.8530          | {'rouge1': 92.83694737064799, 'rouge2': 78.72458121869542, 'rougeL': 67.88788283384865, 'rougeLsum': 92.83768512059282}  | [0.8739198483584956, 0.8530170264142946, 0.8271978418182495, 0.7998377773703629] | 463.0182 |
+| 1.6363        | 2.0   | 440  | 1.8633          | {'rouge1': 93.54135671371444, 'rouge2': 78.96116387599493, 'rougeL': 67.77857901494997, 'rougeLsum': 93.54432289584433}  | [0.8758125801988195, 0.8577741180618648, 0.8322886881519586, 0.80457236049974]   | 463.0182 |
+| 1.2817        | 3.0   | 660  | 2.0098          | {'rouge1': 87.30764070509844, 'rouge2': 73.12328274037898, 'rougeL': 62.00625532521349, 'rougeLsum': 87.29149649901954}  | [0.8757949025917542, 0.8593181834244542, 0.8334473061685955, 0.8048319452251607] | 463.0182 |
+| 0.9049        | 4.0   | 880  | 2.2481          | {'rouge1': 87.35996946418575, 'rouge2': 72.87802745947901, 'rougeL': 61.35206821444361, 'rougeLsum': 87.32662841081371}  | [0.8755472589597261, 0.859572654041077, 0.8333237300074641, 0.804082483213136]   | 463.0182 |
+| 0.5916        | 5.0   | 1100 | 2.5061          | {'rouge1': 78.38431994557745, 'rouge2': 64.89809559762811, 'rougeL': 53.805209482421525, 'rougeLsum': 78.30608179426231} | [0.747179346815877, 0.7352208249958618, 0.7126103103040894, 0.6869428956670465]  | 463.0182 |
+| 0.3898        | 6.0   | 1320 | 2.8150          | {'rouge1': 93.77539618029996, 'rouge2': 78.03050568501187, 'rougeL': 64.82344374456906, 'rougeLsum': 93.76894400818286}  | [0.9469183628254614, 0.9342162110956728, 0.9067374010427977, 0.8750430150656403] | 463.0182 |
+| 0.2961        | 7.0   | 1540 | 2.9796          | {'rouge1': 93.71888929189157, 'rouge2': 77.8377567936117, 'rougeL': 64.47906852741538, 'rougeLsum': 93.71298018429633}   | [0.9470990193868204, 0.9341779145832757, 0.9064440397746264, 0.8744914403659334] | 463.0182 |
+
+
+### Framework versions
+
+- PEFT 0.8.2.dev0
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.2.dev0
+- Tokenizers 0.15.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "TencentARC/LLaMA-Pro-8B",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "o_proj",
+    "down_proj",
+    "k_proj",
+    "q_proj",
+    "up_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 799614904

special_tokens_map.json

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

tokenizer.model

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+size 499723

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "rstrip": false,
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+      "special": true
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}

training_args.bin

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