Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: videomae-surf-analytics-sans-wandb
+  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. -->
+
+# videomae-surf-analytics-sans-wandb
+
+This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1514
+- Accuracy: 0.25
+- F1: 0.125
+
+## 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-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 11
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|
+| 1.361         | 1.0   | 11   | 1.1514          | 0.25     | 0.125 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.0+cpu
+- Datasets 2.19.2
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.25,
+    "eval_f1": 0.125,
+    "eval_loss": 1.1514339447021484,
+    "eval_runtime": 11.5456,
+    "eval_samples_per_second": 0.346,
+    "eval_steps_per_second": 0.087
+}

test_results.json

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+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.8,
+    "eval_f1": 0.7333333333333333,
+    "eval_loss": 1.1280324459075928,
+    "eval_runtime": 14.0785,
+    "eval_samples_per_second": 0.355,
+    "eval_steps_per_second": 0.142
+}

trainer_state.json

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+{
+  "best_metric": 0.25,
+  "best_model_checkpoint": "videomae-surf-analytics-sans-wandb\\checkpoint-11",
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 11,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.9090909090909091,
+      "grad_norm": 9.908684730529785,
+      "learning_rate": 5.555555555555556e-06,
+      "loss": 1.361,
+      "step": 10
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.25,
+      "eval_f1": 0.125,
+      "eval_loss": 1.1514339447021484,
+      "eval_runtime": 12.9275,
+      "eval_samples_per_second": 0.309,
+      "eval_steps_per_second": 0.077,
+      "step": 11
+    },
+    {
+      "epoch": 1.0,
+      "step": 11,
+      "total_flos": 5.482781984371507e+16,
+      "train_loss": 1.3439641974189065,
+      "train_runtime": 366.6861,
+      "train_samples_per_second": 0.12,
+      "train_steps_per_second": 0.03
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.851063829787234,
+      "eval_f1": 0.8528510406305552,
+      "eval_loss": 0.9927294850349426,
+      "eval_runtime": 141.7743,
+      "eval_samples_per_second": 0.332,
+      "eval_steps_per_second": 0.085,
+      "step": 11
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.8,
+      "eval_f1": 0.7333333333333333,
+      "eval_loss": 1.1280324459075928,
+      "eval_runtime": 14.0785,
+      "eval_samples_per_second": 0.355,
+      "eval_steps_per_second": 0.142,
+      "step": 11
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.25,
+      "eval_f1": 0.125,
+      "eval_loss": 1.1514339447021484,
+      "eval_runtime": 11.5456,
+      "eval_samples_per_second": 0.346,
+      "eval_steps_per_second": 0.087,
+      "step": 11
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 11,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 9223372036854775807,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 5.482781984371507e+16,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

val_results.json

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+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.25,
+    "eval_f1": 0.125,
+    "eval_loss": 1.1514339447021484,
+    "eval_runtime": 11.5456,
+    "eval_samples_per_second": 0.346,
+    "eval_steps_per_second": 0.087
+}