Model save

README.md

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+---
+library_name: transformers
+license: other
+base_model: trl-lib/qwen1.5-0.5b-sft
+tags:
+- trl
+- simpo
+- generated_from_trainer
+model-index:
+- name: qwen_uncCPO_entropy
+  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. -->
+
+# qwen_uncCPO_entropy
+
+This model is a fine-tuned version of [trl-lib/qwen1.5-0.5b-sft](https://huggingface.co/trl-lib/qwen1.5-0.5b-sft) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0000
+- Rewards/chosen: -46.3149
+- Rewards/rejected: -47.3422
+- Rewards/accuracies: 0.5616
+- Rewards/margins: 1.0272
+- Logps/rejected: -47.3422
+- Logps/chosen: -46.3149
+- Logits/rejected: 7.3215
+- Logits/chosen: 7.6457
+
+## 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: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.0           | 0.2141 | 400  | 0.0001          | -31.9619       | -33.7423         | 0.5660             | 1.7804          | -33.7423       | -31.9619     | 4.6072          | 4.6195        |
+| 0.0           | 0.4282 | 800  | 0.0000          | -39.5193       | -40.9236         | 0.5593             | 1.4042          | -40.9236       | -39.5193     | 6.2657          | 6.4289        |
+| 0.0008        | 0.6422 | 1200 | 0.0000          | -39.2251       | -40.6025         | 0.5542             | 1.3774          | -40.6025       | -39.2251     | 6.1312          | 6.2908        |
+| 0.0           | 0.8563 | 1600 | 0.0000          | -41.1464       | -42.5420         | 0.5638             | 1.3956          | -42.5420       | -41.1464     | 6.3830          | 6.5549        |
+| 0.0           | 1.0704 | 2000 | 0.0000          | -43.4369       | -44.6769         | 0.5734             | 1.2400          | -44.6769       | -43.4369     | 6.8661          | 7.0992        |
+| 0.0           | 1.2845 | 2400 | 0.0000          | -43.9619       | -45.1746         | 0.5697             | 1.2127          | -45.1746       | -43.9619     | 6.9058          | 7.1560        |
+| 0.0           | 1.4986 | 2800 | 0.0000          | -44.1897       | -45.3701         | 0.5645             | 1.1803          | -45.3701       | -44.1897     | 6.8977          | 7.1567        |
+| 0.0           | 1.7127 | 3200 | 0.0000          | -44.9141       | -46.0263         | 0.5660             | 1.1122          | -46.0263       | -44.9141     | 7.0833          | 7.3687        |
+| 0.0           | 1.9267 | 3600 | 0.0000          | -45.5997       | -46.6466         | 0.5645             | 1.0470          | -46.6466       | -45.5997     | 7.1427          | 7.4593        |
+| 0.0           | 2.1408 | 4000 | 0.0000          | -45.8198       | -46.8818         | 0.5601             | 1.0620          | -46.8818       | -45.8198     | 7.2832          | 7.5923        |
+| 0.0           | 2.3549 | 4400 | 0.0000          | -45.8900       | -46.9389         | 0.5653             | 1.0489          | -46.9389       | -45.8900     | 7.2655          | 7.5788        |
+| 0.0           | 2.5690 | 4800 | 0.0000          | -45.9866       | -47.0244         | 0.5623             | 1.0378          | -47.0244       | -45.9866     | 7.2594          | 7.5758        |
+| 0.0           | 2.7831 | 5200 | 0.0000          | -45.8574       | -46.9081         | 0.5623             | 1.0507          | -46.9081       | -45.8574     | 7.2536          | 7.5634        |
+| 0.0           | 2.9972 | 5600 | 0.0000          | -46.3149       | -47.3422         | 0.5616             | 1.0272          | -47.3422       | -46.3149     | 7.3215          | 7.6457        |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 2.999297541394882,
+    "total_flos": 0.0,
+    "train_loss": 0.008184677160495138,
+    "train_runtime": 30264.8442,
+    "train_samples": 59790,
+    "train_samples_per_second": 5.927,
+    "train_steps_per_second": 0.185
+}

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.44.2"
+}

train_results.json

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+{
+    "epoch": 2.999297541394882,
+    "total_flos": 0.0,
+    "train_loss": 0.008184677160495138,
+    "train_runtime": 30264.8442,
+    "train_samples": 59790,
+    "train_samples_per_second": 5.927,
+    "train_steps_per_second": 0.185
+}