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README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: electra-large_lemon_5k_3_p3
+  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. -->
+
+# electra-large_lemon_5k_3_p3
+
+This model is a fine-tuned version of [model_saves/electra-large_lemon_5k_3_p2](https://huggingface.co/model_saves/electra-large_lemon_5k_3_p2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4408
+- Accuracy: 0.9391
+
+## 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: 1e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 62
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- num_epochs: 15.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 268  | 0.4347          | 0.9391   |
+| No log        | 2.0   | 536  | 0.4408          | 0.9391   |
+| No log        | 3.0   | 804  | 0.4659          | 0.9389   |
+| 0.3492        | 4.0   | 1072 | 0.4874          | 0.9387   |
+| 0.3492        | 5.0   | 1340 | 0.5165          | 0.9373   |
+
+
+### Framework versions
+
+- Transformers 4.21.0.dev0
+- Pytorch 1.11.0+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1

added_tokens.json

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+{
+  "$START": 30522
+}

all_results.json

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+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9391372891020696,
+    "eval_loss": 0.44080281257629395,
+    "eval_runtime": 3.401,
+    "eval_samples": 4382,
+    "eval_samples_per_second": 1288.458,
+    "eval_steps_per_second": 10.291,
+    "train_loss": 0.32128405784493064,
+    "train_runtime": 407.3672,
+    "train_samples": 34304,
+    "train_samples_per_second": 1263.136,
+    "train_steps_per_second": 9.868
+}

eval_results.json

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+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9391372891020696,
+    "eval_loss": 0.44080281257629395,
+    "eval_runtime": 3.401,
+    "eval_samples": 4382,
+    "eval_samples_per_second": 1288.458,
+    "eval_steps_per_second": 10.291
+}

inference_tweak_params.json

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+{"min_error_probability": 0.6, "additional_confidence": 0.32}

pytorch_model.bin

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+size 1357028269

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "$START"
+  ],
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "add_special_tokens": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "name_or_path": "model_saves/electra-large_lemon_5k_3_p2",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "ElectraTokenizer",
+  "unk_token": "[UNK]"
+}

train_results.json

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+{
+    "epoch": 5.0,
+    "train_loss": 0.32128405784493064,
+    "train_runtime": 407.3672,
+    "train_samples": 34304,
+    "train_samples_per_second": 1263.136,
+    "train_steps_per_second": 9.868
+}

trainer_state.json

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+{
+  "best_metric": 0.9391372891020696,
+  "best_model_checkpoint": "model_saves/electra-large_lemon_5k_3_p3/checkpoint-536",
+  "epoch": 5.0,
+  "global_step": 1340,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.9390925658828922,
+      "eval_loss": 0.43472719192504883,
+      "eval_runtime": 3.4124,
+      "eval_samples_per_second": 1284.14,
+      "eval_steps_per_second": 10.257,
+      "step": 268
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.9391372891020696,
+      "eval_loss": 0.44080281257629395,
+      "eval_runtime": 3.4128,
+      "eval_samples_per_second": 1284.0,
+      "eval_steps_per_second": 10.256,
+      "step": 536
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.9388633593846085,
+      "eval_loss": 0.46593591570854187,
+      "eval_runtime": 3.4062,
+      "eval_samples_per_second": 1286.492,
+      "eval_steps_per_second": 10.275,
+      "step": 804
+    },
+    {
+      "epoch": 3.73,
+      "learning_rate": 1e-05,
+      "loss": 0.3492,
+      "step": 1000
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.9386900569102964,
+      "eval_loss": 0.48738524317741394,
+      "eval_runtime": 3.408,
+      "eval_samples_per_second": 1285.813,
+      "eval_steps_per_second": 10.27,
+      "step": 1072
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+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.9373148179205939,
+      "eval_loss": 0.5164535641670227,
+      "eval_runtime": 3.407,
+      "eval_samples_per_second": 1286.175,
+      "eval_steps_per_second": 10.273,
+      "step": 1340
+    },
+    {
+      "epoch": 5.0,
+      "step": 1340,
+      "total_flos": 1.7386042109722624e+16,
+      "train_loss": 0.32128405784493064,
+      "train_runtime": 407.3672,
+      "train_samples_per_second": 1263.136,
+      "train_steps_per_second": 9.868
+    }
+  ],
+  "max_steps": 4020,
+  "num_train_epochs": 15,
+  "total_flos": 1.7386042109722624e+16,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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+size 3439