Model save

README.md

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+---
+library_name: transformers
+tags:
+- trl
+- generated_from_trainer
+model-index:
+- name: simpo-baseline-1e-7
+  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. -->
+
+# simpo-baseline-1e-7
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4908
+- Rewards/chosen: -1.2930
+- Rewards/rejected: -1.6583
+- Rewards/accuracies: 0.6008
+- Rewards/margins: 0.3653
+- Logps/rejected: -0.6633
+- Logps/chosen: -0.5172
+- Logits/rejected: -1.2294
+- Logits/chosen: -1.2648
+
+## 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
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_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: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 1.502         | 0.9981 | 467  | 1.4908          | -1.2930        | -1.6583          | 0.6008             | 0.3653          | -0.6633        | -0.5172      | -1.2294         | -1.2648       |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 0.9981298423724285,
+    "total_flos": 0.0,
+    "train_loss": 1.540159606576221,
+    "train_runtime": 15000.5444,
+    "train_samples": 59876,
+    "train_samples_per_second": 3.992,
+    "train_steps_per_second": 0.031
+}

generation_config.json

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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128009
+  ],
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.44.2"
+}

train_results.json

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+{
+    "epoch": 0.9981298423724285,
+    "total_flos": 0.0,
+    "train_loss": 1.540159606576221,
+    "train_runtime": 15000.5444,
+    "train_samples": 59876,
+    "train_samples_per_second": 3.992,
+    "train_steps_per_second": 0.031
+}