Model save

README.md

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+---
+license: apache-2.0
+base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
+tags:
+- trl
+- expo
+- generated_from_trainer
+model-index:
+- name: qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.005-5e6
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhiyuzha-university-of-florida/huggingface/runs/3gvck2ki)
+# qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.005-5e6
+
+This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3951
+- Logps: -195.5095
+- Logits: -3.2704
+- Objective: 0.3956
+- Dpo Loss: 0.6771
+- Regularize: 0.3956
+- Ranking Simple: 0.5661
+- Ranking Idealized: 0.9194
+- Ranking Idealized Expo: 0.5310
+
+## 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-06
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 6
+- gradient_accumulation_steps: 12
+- total_train_batch_size: 288
+- total_eval_batch_size: 24
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Logps     | Logits  | Objective | Dpo Loss | Regularize | Ranking Simple | Ranking Idealized | Ranking Idealized Expo |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-----------------:|:----------------------:|
+| 0.4052        | 0.2834 | 50   | 0.4107          | -129.0883 | -1.8292 | 0.4120    | 0.6914   | 0.4120     | 0.5372         | 0.9194            | 0.5310                 |
+| 0.3407        | 0.5668 | 100  | 0.4017          | -173.3319 | -2.5066 | 0.4063    | 0.6839   | 0.4063     | 0.5548         | 0.9194            | 0.5310                 |
+| 0.2596        | 0.8503 | 150  | 0.4017          | -188.6395 | -2.4464 | 0.4052    | 0.6806   | 0.4052     | 0.5424         | 0.9194            | 0.5310                 |
+| 0.1965        | 1.1337 | 200  | 0.4002          | -193.1247 | -2.5977 | 0.4041    | 0.6801   | 0.4041     | 0.5589         | 0.9194            | 0.5310                 |
+| 0.1784        | 1.4171 | 250  | 0.3990          | -189.4701 | -2.7528 | 0.4023    | 0.6802   | 0.4023     | 0.5620         | 0.9194            | 0.5310                 |
+| 0.1717        | 1.7005 | 300  | 0.4021          | -195.7304 | -2.8777 | 0.4042    | 0.6799   | 0.4042     | 0.5455         | 0.9194            | 0.5310                 |
+| 0.1527        | 1.9839 | 350  | 0.3960          | -211.6068 | -3.1101 | 0.3970    | 0.6760   | 0.3970     | 0.5558         | 0.9194            | 0.5310                 |
+| 0.1267        | 2.2674 | 400  | 0.3981          | -201.0368 | -3.2515 | 0.3998    | 0.6776   | 0.3998     | 0.5620         | 0.9194            | 0.5310                 |
+| 0.1121        | 2.5508 | 450  | 0.3957          | -192.7809 | -2.9523 | 0.3976    | 0.6782   | 0.3976     | 0.5620         | 0.9194            | 0.5310                 |
+| 0.1063        | 2.8342 | 500  | 0.3941          | -195.7920 | -3.2835 | 0.3949    | 0.6760   | 0.3949     | 0.5671         | 0.9194            | 0.5310                 |
+| 0.0891        | 3.1176 | 550  | 0.3956          | -196.1659 | -3.1953 | 0.3960    | 0.6777   | 0.3960     | 0.5610         | 0.9194            | 0.5310                 |
+| 0.0749        | 3.4010 | 600  | 0.3962          | -194.1237 | -3.1966 | 0.3973    | 0.6781   | 0.3973     | 0.5744         | 0.9194            | 0.5310                 |
+| 0.062         | 3.6845 | 650  | 0.3956          | -195.3244 | -3.2412 | 0.3967    | 0.6778   | 0.3967     | 0.5702         | 0.9194            | 0.5310                 |
+| 0.0583        | 3.9679 | 700  | 0.3956          | -196.4469 | -3.2432 | 0.3961    | 0.6772   | 0.3961     | 0.5640         | 0.9194            | 0.5310                 |
+| 0.0451        | 4.2513 | 750  | 0.3952          | -195.4398 | -3.2666 | 0.3955    | 0.6771   | 0.3955     | 0.5671         | 0.9194            | 0.5310                 |
+| 0.0438        | 4.5347 | 800  | 0.3952          | -195.2319 | -3.2693 | 0.3956    | 0.6771   | 0.3956     | 0.5661         | 0.9194            | 0.5310                 |
+| 0.0408        | 4.8181 | 850  | 0.3951          | -195.5095 | -3.2704 | 0.3956    | 0.6771   | 0.3956     | 0.5661         | 0.9194            | 0.5310                 |
+
+
+### Framework versions
+
+- Transformers 4.42.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

added_tokens.json

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+}

all_results.json

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+{
+    "epoch": 4.988190836088805,
+    "total_flos": 0.0,
+    "train_loss": 0.1496292933313684,
+    "train_runtime": 35141.4223,
+    "train_samples": 50802,
+    "train_samples_per_second": 7.228,
+    "train_steps_per_second": 0.025
+}

config.json

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+{
+  "_name_or_path": "hZzy/qwen2.5-0.5b-sft-news-IFT",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151644,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 24,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151645,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.0",
+  "use_cache": false,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151665
+}

generation_config.json

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+{
+  "bos_token_id": 151644,
+  "eos_token_id": 151645,
+  "max_new_tokens": 2048,
+  "pad_token_id": 151645,
+  "transformers_version": "4.42.0"
+}

model.safetensors

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+size 1975192208

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": {
+    "content": "<|im_start|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "eos_token": {
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+    "single_word": false
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+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+  "additional_special_tokens": [
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+    "<|im_end|>"
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+  "bos_token": "<|im_start|>",
+  "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
+  "clean_up_tokenization_spaces": false,
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+}

train_results.json

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+{
+    "epoch": 4.988190836088805,
+    "total_flos": 0.0,
+    "train_loss": 0.1496292933313684,
+    "train_runtime": 35141.4223,
+    "train_samples": 50802,
+    "train_samples_per_second": 7.228,
+    "train_steps_per_second": 0.025
+}

training_args.bin

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