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_cpo_entropy_0_1
+  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_cpo_entropy_0_1
+
+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: 0.7448
+- Sft Loss: 1.9881
+- Rewards/chosen: -2.0736
+- Rewards/rejected: -3.1334
+- Rewards/accuracies: 0.7070
+- Rewards/margins: 1.0598
+- Logps/rejected: -3.1334
+- Logps/chosen: -2.0736
+- Logits/rejected: 0.5813
+- Logits/chosen: 0.4340
+
+## 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: 3e-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 | Sft Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.7978        | 0.2141 | 400  | 0.7943          | 1.4613   | -1.4694        | -1.7232          | 0.6046             | 0.2538          | -1.7232        | -1.4694      | 0.3545          | 0.2666        |
+| 0.7634        | 0.4282 | 800  | 0.7630          | 1.6008   | -1.6434        | -2.1177          | 0.6461             | 0.4743          | -2.1177        | -1.6434      | 0.2223          | 0.1296        |
+| 0.7941        | 0.6422 | 1200 | 0.7446          | 1.6244   | -1.6029        | -2.1044          | 0.6751             | 0.5015          | -2.1044        | -1.6029      | 0.4172          | 0.3041        |
+| 0.7152        | 0.8563 | 1600 | 0.7451          | 1.6680   | -1.6570        | -2.1579          | 0.6795             | 0.5009          | -2.1579        | -1.6570      | 0.6005          | 0.4663        |
+| 0.7358        | 1.0704 | 2000 | 0.7325          | 1.6955   | -1.6992        | -2.3333          | 0.6825             | 0.6341          | -2.3333        | -1.6992      | 0.5037          | 0.3711        |
+| 0.6698        | 1.2845 | 2400 | 0.7332          | 1.8308   | -1.8658        | -2.6575          | 0.7018             | 0.7917          | -2.6575        | -1.8658      | 0.5028          | 0.3708        |
+| 0.6975        | 1.4986 | 2800 | 0.7278          | 1.7287   | -1.7409        | -2.4820          | 0.6892             | 0.7411          | -2.4820        | -1.7409      | 0.8810          | 0.7225        |
+| 0.7081        | 1.7127 | 3200 | 0.7276          | 1.6777   | -1.6914        | -2.3420          | 0.6773             | 0.6506          | -2.3420        | -1.6914      | 0.5738          | 0.4414        |
+| 0.6451        | 1.9267 | 3600 | 0.7215          | 1.7451   | -1.7517        | -2.4919          | 0.6914             | 0.7402          | -2.4919        | -1.7517      | 0.4252          | 0.3011        |
+| 0.5342        | 2.1408 | 4000 | 0.7366          | 1.9275   | -1.9957        | -2.9730          | 0.6966             | 0.9773          | -2.9730        | -1.9957      | 0.6010          | 0.4547        |
+| 0.5733        | 2.3549 | 4400 | 0.7454          | 1.9592   | -2.0642        | -3.1108          | 0.7055             | 1.0466          | -3.1108        | -2.0642      | 0.5969          | 0.4500        |
+| 0.5581        | 2.5690 | 4800 | 0.7417          | 1.9637   | -2.0442        | -3.0719          | 0.7018             | 1.0277          | -3.0719        | -2.0442      | 0.6573          | 0.5046        |
+| 0.5281        | 2.7831 | 5200 | 0.7447          | 1.9814   | -2.0666        | -3.1212          | 0.7033             | 1.0546          | -3.1212        | -2.0666      | 0.6008          | 0.4524        |
+| 0.5395        | 2.9972 | 5600 | 0.7448          | 1.9881   | -2.0736        | -3.1334          | 0.7070             | 1.0598          | -3.1334        | -2.0736      | 0.5813          | 0.4340        |
+
+
+### 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": 0.6688217556451066,
+    "train_runtime": 34631.8364,
+    "train_samples": 59790,
+    "train_samples_per_second": 5.179,
+    "train_steps_per_second": 0.162
+}

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": 0.6688217556451066,
+    "train_runtime": 34631.8364,
+    "train_samples": 59790,
+    "train_samples_per_second": 5.179,
+    "train_steps_per_second": 0.162
+}