Model save

README.md

@@ -0,0 +1,58 @@
+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B
+tags:
+- generated_from_trainer
+model-index:
+- name: Qwen2.5-7B-spin-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. -->
+
+# Qwen2.5-7B-spin-2k
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) 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": 0.24013032932435313,
+    "train_runtime": 796.2749,
+    "train_samples": 1992,
+    "train_samples_per_second": 2.502,
+    "train_steps_per_second": 0.078
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.43.3"
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.992,
+    "total_flos": 0.0,
+    "train_loss": 0.24013032932435313,
+    "train_runtime": 796.2749,
+    "train_samples": 1992,
+    "train_samples_per_second": 2.502,
+    "train_steps_per_second": 0.078
+}

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": 171.73661439403955,
+      "learning_rate": 7.142857142857142e-08,
+      "logits/generated": -0.7590318322181702,
+      "logits/real": -1.0396332740783691,
+      "logps/generated": -289.2199401855469,
+      "logps/real": -197.24859619140625,
+      "loss": 0.9187,
+      "rewards/accuracies": 0.0,
+      "rewards/generated": 0.0,
+      "rewards/margins": 0.0,
+      "rewards/real": 0.0,
+      "step": 1
+    },
+    {
+      "epoch": 0.16,
+      "grad_norm": 34.20735933667791,
+      "learning_rate": 4.727272727272727e-07,
+      "logits/generated": -0.952869176864624,
+      "logits/real": -0.9400660991668701,
+      "logps/generated": -267.64935302734375,
+      "logps/real": -216.30641174316406,
+      "loss": 0.6785,
+      "rewards/accuracies": 0.8611111044883728,
+      "rewards/generated": -0.6007769107818604,
+      "rewards/margins": 0.7688150405883789,
+      "rewards/real": 0.16803814470767975,
+      "step": 10
+    },
+    {
+      "epoch": 0.32,
+      "grad_norm": 1.89230891359901,
+      "learning_rate": 3.818181818181818e-07,
+      "logits/generated": -0.8387147188186646,
+      "logits/real": -0.6731612086296082,
+      "logps/generated": -285.69097900390625,
+      "logps/real": -183.71739196777344,
+      "loss": 0.1842,
+      "rewards/accuracies": 1.0,
+      "rewards/generated": -2.0443050861358643,
+      "rewards/margins": 6.490469455718994,
+      "rewards/real": 4.446164608001709,
+      "step": 20
+    },
+    {
+      "epoch": 0.48,
+      "grad_norm": 4.462947343445185,
+      "learning_rate": 2.909090909090909e-07,
+      "logits/generated": -0.7116909027099609,
+      "logits/real": -0.5934397578239441,
+      "logps/generated": -282.5917053222656,
+      "logps/real": -128.06210327148438,
+      "loss": 0.1377,
+      "rewards/accuracies": 1.0,
+      "rewards/generated": -2.1207313537597656,
+      "rewards/margins": 9.267239570617676,
+      "rewards/real": 7.146508693695068,
+      "step": 30
+    },
+    {
+      "epoch": 0.64,
+      "grad_norm": 1.017306581553629,
+      "learning_rate": 2e-07,
+      "logits/generated": -0.5800212621688843,
+      "logits/real": -0.6825695633888245,
+      "logps/generated": -289.5108337402344,
+      "logps/real": -159.77926635742188,
+      "loss": 0.1543,
+      "rewards/accuracies": 1.0,
+      "rewards/generated": -2.36224627494812,
+      "rewards/margins": 9.751206398010254,
+      "rewards/real": 7.3889594078063965,
+      "step": 40
+    },
+    {
+      "epoch": 0.8,
+      "grad_norm": 0.9620294445274639,
+      "learning_rate": 1.0909090909090908e-07,
+      "logits/generated": -0.6641489267349243,
+      "logits/real": -0.6202989220619202,
+      "logps/generated": -291.93603515625,
+      "logps/real": -158.97694396972656,
+      "loss": 0.1462,
+      "rewards/accuracies": 1.0,
+      "rewards/generated": -2.7126903533935547,
+      "rewards/margins": 10.294529914855957,
+      "rewards/real": 7.581839561462402,
+      "step": 50
+    },
+    {
+      "epoch": 0.96,
+      "grad_norm": 1.0600372275387984,
+      "learning_rate": 1.818181818181818e-08,
+      "logits/generated": -0.4919801354408264,
+      "logits/real": -0.810921311378479,
+      "logps/generated": -301.64776611328125,
+      "logps/real": -126.55671691894531,
+      "loss": 0.1347,
+      "rewards/accuracies": 1.0,
+      "rewards/generated": -3.056795835494995,
+      "rewards/margins": 10.84618854522705,
+      "rewards/real": 7.78939151763916,
+      "step": 60
+    },
+    {
+      "epoch": 0.992,
+      "step": 62,
+      "total_flos": 0.0,
+      "train_loss": 0.24013032932435313,
+      "train_runtime": 796.2749,
+      "train_samples_per_second": 2.502,
+      "train_steps_per_second": 0.078
+    }
+  ],
+  "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
+}