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-0.1-1e6
+  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/ytwqoneq)
+# qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.1-1e6
+
+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: 0.4062
+- Logps: -90.0432
+- Logits: -1.4302
+- Objective: 0.4077
+- Dpo Loss: 0.6829
+- Regularize: 0.4077
+- Ranking Simple: 0.5248
+- Ranking Idealized: 0.5888
+- Ranking Idealized Expo: 0.5103
+
+## 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: 1e-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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-----------------:|:----------------------:|
+| 0.3854        | 0.2834 | 50   | 0.4056          | -91.4065 | -1.4801 | 0.4076    | 0.6886   | 0.4076     | 0.5124         | 0.5888            | 0.5103                 |
+| 0.3126        | 0.5668 | 100  | 0.4022          | -91.3166 | -1.4526 | 0.4009    | 0.6817   | 0.4009     | 0.5207         | 0.5888            | 0.5103                 |
+| 0.2481        | 0.8503 | 150  | 0.4118          | -93.3285 | -1.4781 | 0.4156    | 0.6853   | 0.4156     | 0.5186         | 0.5888            | 0.5103                 |
+| 0.1986        | 1.1337 | 200  | 0.4053          | -90.6332 | -1.4691 | 0.4089    | 0.6828   | 0.4089     | 0.5207         | 0.5888            | 0.5103                 |
+| 0.1805        | 1.4171 | 250  | 0.4086          | -90.2497 | -1.4648 | 0.4084    | 0.6831   | 0.4084     | 0.5248         | 0.5888            | 0.5103                 |
+| 0.1668        | 1.7005 | 300  | 0.4080          | -89.8657 | -1.4761 | 0.4114    | 0.6842   | 0.4114     | 0.5207         | 0.5888            | 0.5103                 |
+| 0.1476        | 1.9839 | 350  | 0.4086          | -89.6008 | -1.4348 | 0.4084    | 0.6835   | 0.4084     | 0.5217         | 0.5888            | 0.5103                 |
+| 0.1232        | 2.2674 | 400  | 0.4064          | -89.9367 | -1.4142 | 0.4060    | 0.6825   | 0.4060     | 0.5238         | 0.5888            | 0.5103                 |
+| 0.1085        | 2.5508 | 450  | 0.4057          | -90.6112 | -1.4381 | 0.4068    | 0.6829   | 0.4068     | 0.5238         | 0.5888            | 0.5103                 |
+| 0.099         | 2.8342 | 500  | 0.4075          | -89.7867 | -1.4538 | 0.4090    | 0.6837   | 0.4090     | 0.5248         | 0.5888            | 0.5103                 |
+| 0.0841        | 3.1176 | 550  | 0.4074          | -89.1923 | -1.4288 | 0.4091    | 0.6836   | 0.4091     | 0.5269         | 0.5888            | 0.5103                 |
+| 0.0673        | 3.4010 | 600  | 0.4056          | -89.8307 | -1.4326 | 0.4069    | 0.6824   | 0.4069     | 0.5238         | 0.5888            | 0.5103                 |
+| 0.0589        | 3.6845 | 650  | 0.4060          | -89.4758 | -1.4302 | 0.4077    | 0.6829   | 0.4077     | 0.5248         | 0.5888            | 0.5103                 |
+| 0.0551        | 3.9679 | 700  | 0.4065          | -90.0660 | -1.4301 | 0.4080    | 0.6831   | 0.4080     | 0.5238         | 0.5888            | 0.5103                 |
+| 0.042         | 4.2513 | 750  | 0.4064          | -90.0447 | -1.4307 | 0.4078    | 0.6830   | 0.4078     | 0.5248         | 0.5888            | 0.5103                 |
+| 0.0411        | 4.5347 | 800  | 0.4062          | -90.1140 | -1.4310 | 0.4078    | 0.6830   | 0.4078     | 0.5238         | 0.5888            | 0.5103                 |
+| 0.0355        | 4.8181 | 850  | 0.4062          | -90.0432 | -1.4302 | 0.4077    | 0.6829   | 0.4077     | 0.5248         | 0.5888            | 0.5103                 |
+
+
+### 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": 0.1442635908045552,
+    "train_runtime": 35242.7125,
+    "train_samples": 50802,
+    "train_samples_per_second": 7.207,
+    "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,
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+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+}

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": 0.1442635908045552,
+    "train_runtime": 35242.7125,
+    "train_samples": 50802,
+    "train_samples_per_second": 7.207,
+    "train_steps_per_second": 0.025
+}

training_args.bin

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