Model save

README.md

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+---
+license: apache-2.0
+base_model: AmberYifan/mistral-safe-sft-full
+tags:
+- generated_from_trainer
+model-index:
+- name: mistral-sft-spin-ultrafeedback
+  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. -->
+
+# mistral-sft-spin-ultrafeedback
+
+This model is a fine-tuned version of [AmberYifan/mistral-safe-sft-full](https://huggingface.co/AmberYifan/mistral-safe-sft-full) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3972
+- Rewards/real: 22.1059
+- Rewards/generated: -7.2907
+- Rewards/accuracies: 0.9643
+- Rewards/margins: 29.3967
+- Logps/generated: -562.6890
+- Logps/real: -250.2120
+- Logits/generated: -1.9480
+- Logits/real: -2.0005
+
+## 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-07
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 3
+- total_train_batch_size: 12
+- total_eval_batch_size: 12
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
+|:-------------:|:------:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
+| 0.595         | 0.1203 | 1000 | 0.5124          | 11.3158      | 1.6608            | 0.9464             | 9.6550          | -473.1739       | -358.1132  | -2.4781          | -2.4648     |
+| 0.6451        | 0.2405 | 2000 | 0.4696          | 17.0313      | 2.1793            | 0.9613             | 14.8520         | -467.9886       | -300.9576  | -2.2454          | -2.2894     |
+| 0.6942        | 0.3608 | 3000 | 0.4032          | 18.1009      | -4.0003           | 0.9732             | 22.1012         | -529.7845       | -290.2621  | -2.2503          | -2.3049     |
+| 0.5971        | 0.4810 | 4000 | 0.4349          | 20.4856      | -0.4965           | 0.9554             | 20.9821         | -494.7470       | -266.4150  | -2.2408          | -2.2874     |
+| 0.418         | 0.6013 | 5000 | 0.4742          | 21.3899      | -1.9856           | 0.9613             | 23.3755         | -509.6375       | -257.3721  | -2.2078          | -2.2568     |
+| 0.4272        | 0.7215 | 6000 | 0.4182          | 21.5687      | -2.6705           | 0.9583             | 24.2392         | -516.4866       | -255.5838  | -2.0241          | -2.0560     |
+| 0.408         | 0.8418 | 7000 | 0.3871          | 21.3882      | -9.6508           | 0.9732             | 31.0390         | -586.2899       | -257.3895  | -1.9645          | -2.0343     |
+| 0.5954        | 0.9620 | 8000 | 0.3972          | 22.1059      | -7.2907           | 0.9643             | 29.3967         | -562.6890       | -250.2120  | -1.9480          | -2.0005     |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 1.0,
+    "total_flos": 0.0,
+    "train_loss": 0.5495538560314325,
+    "train_runtime": 35404.0549,
+    "train_samples": 99792,
+    "train_samples_per_second": 2.819,
+    "train_steps_per_second": 0.235
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.43.3"
+}

train_results.json

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+{
+    "epoch": 1.0,
+    "total_flos": 0.0,
+    "train_loss": 0.5495538560314325,
+    "train_runtime": 35404.0549,
+    "train_samples": 99792,
+    "train_samples_per_second": 2.819,
+    "train_steps_per_second": 0.235
+}