Model save

README.md

@@ -0,0 +1,58 @@
+---
+license: apache-2.0
+base_model: mistral-community/Mistral-7B-v0.2
+tags:
+- generated_from_trainer
+model-index:
+- name: Mistral-7B-v0.2-gen-dpo-2k
+  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-7B-v0.2-gen-dpo-2k
+
+This model is a fine-tuned version of [mistral-community/Mistral-7B-v0.2](https://huggingface.co/mistral-community/Mistral-7B-v0.2) on an unknown dataset.
+
+## 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: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- total_eval_batch_size: 16
+- 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
+
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.992,
+    "total_flos": 0.0,
+    "train_loss": 0.5572480242098531,
+    "train_runtime": 732.2453,
+    "train_samples": 2000,
+    "train_samples_per_second": 2.731,
+    "train_steps_per_second": 0.085
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.43.3"
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.992,
+    "total_flos": 0.0,
+    "train_loss": 0.5572480242098531,
+    "train_runtime": 732.2453,
+    "train_samples": 2000,
+    "train_samples_per_second": 2.731,
+    "train_steps_per_second": 0.085
+}

trainer_state.json

@@ -0,0 +1,147 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.992,
+  "eval_steps": 200,
+  "global_step": 62,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.016,
+      "grad_norm": 198.25669918398648,
+      "learning_rate": 7.142857142857142e-08,
+      "logits/generated": -3.0665292739868164,
+      "logits/real": -3.1044487953186035,
+      "logps/generated": -260.97100830078125,
+      "logps/real": -222.56707763671875,
+      "loss": 0.9049,
+      "rewards/accuracies": 0.0,
+      "rewards/generated": 0.0,
+      "rewards/margins": 0.0,
+      "rewards/real": 0.0,
+      "step": 1
+    },
+    {
+      "epoch": 0.16,
+      "grad_norm": 191.14682428587082,
+      "learning_rate": 4.727272727272727e-07,
+      "logits/generated": -2.957974910736084,
+      "logits/real": -3.005094051361084,
+      "logps/generated": -255.78170776367188,
+      "logps/real": -211.8086700439453,
+      "loss": 0.7861,
+      "rewards/accuracies": 0.6805555820465088,
+      "rewards/generated": -1.2839804887771606,
+      "rewards/margins": 1.258236289024353,
+      "rewards/real": -0.025744358077645302,
+      "step": 10
+    },
+    {
+      "epoch": 0.32,
+      "grad_norm": 127.1618329581298,
+      "learning_rate": 3.818181818181818e-07,
+      "logits/generated": -3.0288896560668945,
+      "logits/real": -3.092313289642334,
+      "logps/generated": -240.3448028564453,
+      "logps/real": -194.00479125976562,
+      "loss": 0.6416,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/generated": -0.07217645645141602,
+      "rewards/margins": 1.4789001941680908,
+      "rewards/real": 1.4067238569259644,
+      "step": 20
+    },
+    {
+      "epoch": 0.48,
+      "grad_norm": 158.65956873160914,
+      "learning_rate": 2.909090909090909e-07,
+      "logits/generated": -2.827226161956787,
+      "logits/real": -2.930786609649658,
+      "logps/generated": -263.2423400878906,
+      "logps/real": -203.39224243164062,
+      "loss": 0.5109,
+      "rewards/accuracies": 0.824999988079071,
+      "rewards/generated": -1.4480739831924438,
+      "rewards/margins": 2.398531675338745,
+      "rewards/real": 0.9504578709602356,
+      "step": 30
+    },
+    {
+      "epoch": 0.64,
+      "grad_norm": 160.69468296728675,
+      "learning_rate": 2e-07,
+      "logits/generated": -2.819359064102173,
+      "logits/real": -2.861755847930908,
+      "logps/generated": -266.3091735839844,
+      "logps/real": -194.5775146484375,
+      "loss": 0.5326,
+      "rewards/accuracies": 0.9125000238418579,
+      "rewards/generated": -2.1509218215942383,
+      "rewards/margins": 3.369136095046997,
+      "rewards/real": 1.2182139158248901,
+      "step": 40
+    },
+    {
+      "epoch": 0.8,
+      "grad_norm": 94.40293067720134,
+      "learning_rate": 1.0909090909090908e-07,
+      "logits/generated": -2.8005573749542236,
+      "logits/real": -2.8787262439727783,
+      "logps/generated": -261.2699279785156,
+      "logps/real": -196.7130889892578,
+      "loss": 0.4681,
+      "rewards/accuracies": 0.824999988079071,
+      "rewards/generated": -2.203646659851074,
+      "rewards/margins": 3.2588391304016113,
+      "rewards/real": 1.055192232131958,
+      "step": 50
+    },
+    {
+      "epoch": 0.96,
+      "grad_norm": 75.79186500073192,
+      "learning_rate": 1.818181818181818e-08,
+      "logits/generated": -2.8064606189727783,
+      "logits/real": -2.833669900894165,
+      "logps/generated": -264.3329162597656,
+      "logps/real": -198.6341094970703,
+      "loss": 0.4321,
+      "rewards/accuracies": 0.8125,
+      "rewards/generated": -2.0550496578216553,
+      "rewards/margins": 3.226325511932373,
+      "rewards/real": 1.1712758541107178,
+      "step": 60
+    },
+    {
+      "epoch": 0.992,
+      "step": 62,
+      "total_flos": 0.0,
+      "train_loss": 0.5572480242098531,
+      "train_runtime": 732.2453,
+      "train_samples_per_second": 2.731,
+      "train_steps_per_second": 0.085
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 62,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 200,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 0.0,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}