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-0.5-5e6
+  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/e9puntse)
+# qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.5-5e6
+
+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: 2.2561
+- Logps: -80.0661
+- Logits: -0.6169
+- Objective: 2.2424
+- Dpo Loss: 1.3284
+- Regularize: 2.2424
+- Ranking Simple: 0.5134
+- Ranking Idealized: 0.5248
+- Ranking Idealized Expo: 0.5093
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-----------------:|:----------------------:|
+| 0.8081        | 0.2834 | 50   | 0.6652          | -91.9364 | -1.3308 | 0.6722    | 0.7266   | 0.6722     | 0.5124         | 0.5248            | 0.5093                 |
+| 1.4482        | 0.5668 | 100  | 1.4160          | -83.3251 | -1.0880 | 1.3662    | 0.9745   | 1.3662     | 0.5093         | 0.5248            | 0.5093                 |
+| 1.5063        | 0.8503 | 150  | 1.8403          | -79.4245 | -0.9764 | 1.8307    | 1.1388   | 1.8307     | 0.5155         | 0.5248            | 0.5093                 |
+| 1.3427        | 1.1337 | 200  | 1.9411          | -78.0898 | -0.8446 | 1.9042    | 1.1943   | 1.9042     | 0.5124         | 0.5248            | 0.5093                 |
+| 1.2385        | 1.4171 | 250  | 2.1004          | -81.0783 | -0.8252 | 2.0780    | 1.2812   | 2.0780     | 0.5072         | 0.5248            | 0.5093                 |
+| 1.1013        | 1.7005 | 300  | 2.1954          | -78.5161 | -0.6190 | 2.2003    | 1.3091   | 2.2003     | 0.5124         | 0.5248            | 0.5093                 |
+| 0.9795        | 1.9839 | 350  | 2.2001          | -78.2914 | -0.6908 | 2.1850    | 1.2866   | 2.1850     | 0.5093         | 0.5248            | 0.5093                 |
+| 0.8853        | 2.2674 | 400  | 2.2679          | -78.5732 | -0.6216 | 2.2619    | 1.3223   | 2.2619     | 0.5134         | 0.5248            | 0.5093                 |
+| 0.7605        | 2.5508 | 450  | 2.2655          | -78.2840 | -0.6826 | 2.2744    | 1.3572   | 2.2744     | 0.5145         | 0.5248            | 0.5093                 |
+| 0.6709        | 2.8342 | 500  | 2.2688          | -79.7185 | -0.6486 | 2.2578    | 1.3375   | 2.2578     | 0.5186         | 0.5248            | 0.5093                 |
+| 0.5302        | 3.1176 | 550  | 2.2598          | -80.1419 | -0.6267 | 2.2430    | 1.3210   | 2.2430     | 0.5196         | 0.5248            | 0.5093                 |
+| 0.4552        | 3.4010 | 600  | 2.2547          | -79.9582 | -0.6007 | 2.2379    | 1.3298   | 2.2379     | 0.5124         | 0.5248            | 0.5093                 |
+| 0.3981        | 3.6845 | 650  | 2.2549          | -80.1880 | -0.5995 | 2.2397    | 1.3238   | 2.2397     | 0.5155         | 0.5248            | 0.5093                 |
+| 0.3178        | 3.9679 | 700  | 2.2616          | -80.4560 | -0.6215 | 2.2539    | 1.3332   | 2.2539     | 0.5134         | 0.5248            | 0.5093                 |
+| 0.2213        | 4.2513 | 750  | 2.2620          | -80.1501 | -0.6154 | 2.2499    | 1.3297   | 2.2499     | 0.5134         | 0.5248            | 0.5093                 |
+| 0.2032        | 4.5347 | 800  | 2.2583          | -80.1241 | -0.6175 | 2.2455    | 1.3295   | 2.2455     | 0.5134         | 0.5248            | 0.5093                 |
+| 0.1935        | 4.8181 | 850  | 2.2561          | -80.0661 | -0.6169 | 2.2424    | 1.3284   | 2.2424     | 0.5134         | 0.5248            | 0.5093                 |
+
+
+### 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": 0.7624400413849137,
+    "train_runtime": 35099.769,
+    "train_samples": 50802,
+    "train_samples_per_second": 7.237,
+    "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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+{
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+  "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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+{
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+    "<|im_start|>",
+    "<|im_end|>"
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+  "bos_token": {
+    "content": "<|im_start|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "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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+    "<|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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+    "total_flos": 0.0,
+    "train_loss": 0.7624400413849137,
+    "train_runtime": 35099.769,
+    "train_samples": 50802,
+    "train_samples_per_second": 7.237,
+    "train_steps_per_second": 0.025
+}

training_args.bin

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