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README.md

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+---
+license: mit
+base_model: microsoft/Phi-3-mini-4k-instruct
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- trl-lib/kto-mix-14k
+- chaoweihuang/lf-response-phi3-f1_100_0.7-fg0.5
+model-index:
+- name: kto-mix-14k-lf-response-phi3-f1_100_0.7-fg0.5-kto-fg-fgudw4.0
+  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. -->
+
+# kto-mix-14k-lf-response-phi3-f1_100_0.7-fg0.5-kto-fg-fgudw4.0
+
+This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on the trl-lib/kto-mix-14k and the chaoweihuang/lf-response-phi3-f1_100_0.7-fg0.5 datasets.
+It achieves the following results on the evaluation set:
+- Loss: 0.4815
+- Rewards/chosen: -0.6601
+- Logps/chosen: -299.7121
+- Rewards/rejected: -2.6435
+- Logps/rejected: -364.3744
+- Rewards/margins: 1.9834
+- Kl: 0.0081
+- Fg Kl: nan
+- Fg Rewards/chosen Sum: 0.0694
+- Fg Logps/policy Chosen: -15.2781
+- Fg Logps/reference Chosen: -14.9295
+- Count/fg Chosen: 16.0137
+- Fg Rewards/rejected Sum: -0.3623
+- Fg Logps/policy Rejected: -19.6552
+- Fg Logps/reference Rejected: -18.7868
+- Count/fg Rejected: 4.0824
+- Fg Logps/policy Kl: -21.1260
+- Fg Logps/reference Kl: -20.2070
+- Fg Loss: 0.7365
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- total_eval_batch_size: 2
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Logps/chosen | Rewards/rejected | Logps/rejected | Rewards/margins | Kl     | Fg Kl | Fg Rewards/chosen Sum | Fg Logps/policy Chosen | Fg Logps/reference Chosen | Count/fg Chosen | Fg Rewards/rejected Sum | Fg Logps/policy Rejected | Fg Logps/reference Rejected | Count/fg Rejected | Fg Logps/policy Kl | Fg Logps/reference Kl | Fg Loss |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:------------:|:----------------:|:--------------:|:---------------:|:------:|:-----:|:---------------------:|:----------------------:|:-------------------------:|:---------------:|:-----------------------:|:------------------------:|:---------------------------:|:-----------------:|:------------------:|:---------------------:|:-------:|
+| 0.4495        | 0.4103 | 400  | 0.4978          | -1.0397        | -303.5076    | -2.7182          | -365.1212      | 1.6785          | 0.0054 | nan   | -1.3184               | -16.1070               | -14.9295                  | 16.0137         | -0.5732                 | -20.2671                 | -18.7868                    | 4.0824            | -21.1826           | -20.2070              | 0.7449  |
+| 0.5189        | 0.8206 | 800  | 0.4815          | -0.6601        | -299.7121    | -2.6435          | -364.3744      | 1.9834          | 0.0081 | nan   | 0.0694                | -15.2781               | -14.9295                  | 16.0137         | -0.3623                 | -19.6552                 | -18.7868                    | 4.0824            | -21.1260           | -20.2070              | 0.7365  |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- 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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+    "eval_count/fg_chosen": 16.01369857788086,
+    "eval_count/fg_rejected": 4.0824174880981445,
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+    "eval_fg_logps/policy_KL": -21.24127197265625,
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+    "eval_fg_logps/policy_rejected": -20.08335304260254,
+    "eval_fg_logps/reference_KL": -20.207021713256836,
+    "eval_fg_logps/reference_chosen": -14.929487228393555,
+    "eval_fg_logps/reference_rejected": -18.78682518005371,
+    "eval_fg_loss": 0.738543689250946,
+    "eval_fg_rewards/chosen_sum": -0.5872737169265747,
+    "eval_fg_rewards/rejected_sum": -0.5185446739196777,
+    "eval_kl": 0.005938735790550709,
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+    "eval_loss": 0.481334924697876,
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+    "eval_rewards/margins": 2.0290243493528757,
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+    "eval_runtime": 811.484,
+    "eval_samples": 1733,
+    "eval_samples_per_second": 2.136,
+    "eval_steps_per_second": 1.068,
+    "total_flos": 0.0,
+    "train_loss": 0.5029905087159644,
+    "train_runtime": 13638.2416,
+    "train_samples": 15597,
+    "train_samples_per_second": 1.144,
+    "train_steps_per_second": 0.071
+}

config.json

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+  "architectures": [
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+  "torch_dtype": "float16",
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+  "use_cache": true,
+  "vocab_size": 32064
+}

eval_results.json

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+    "eval_steps_per_second": 1.068
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generation_config.json

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+  "transformers_version": "4.41.1"
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