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README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta-large_lemon-spell_10k_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. -->
+
+# roberta-large_lemon-spell_10k_3_p3
+
+This model is a fine-tuned version of [model_saves/roberta-large_lemon-spell_10k_3_p2](https://huggingface.co/model_saves/roberta-large_lemon-spell_10k_3_p2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4579
+- Accuracy: 0.9392
+
+## 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 | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| No log        | 1.0   | 268  | 0.9390   | 0.4454          |
+| No log        | 2.0   | 536  | 0.9392   | 0.4579          |
+| No log        | 3.0   | 804  | 0.9387   | 0.5055          |
+| 0.2672        | 4.0   | 1072 | 0.9386   | 0.5471          |
+| 0.2672        | 5.0   | 1340 | 0.9378   | 0.6000          |
+| 0.2672        | 6.0   | 1608 | 0.6508   | 0.9375          |
+| 0.2672        | 7.0   | 1876 | 0.7333   | 0.9374          |
+| 0.1123        | 8.0   | 2144 | 0.7822   | 0.9375          |
+
+
+### 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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+}

all_results.json

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+    "eval_loss": 0.4579298198223114,
+    "eval_runtime": 3.4173,
+    "eval_samples": 4382,
+    "eval_samples_per_second": 1282.315,
+    "eval_steps_per_second": 10.242,
+    "train_loss": 0.040641184173413177,
+    "train_runtime": 251.7898,
+    "train_samples": 34304,
+    "train_samples_per_second": 2043.61,
+    "train_steps_per_second": 15.966
+}

eval_results.json

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+{
+    "epoch": 8.0,
+    "eval_accuracy": 0.9391987835284383,
+    "eval_loss": 0.4579298198223114,
+    "eval_runtime": 3.4173,
+    "eval_samples": 4382,
+    "eval_samples_per_second": 1282.315,
+    "eval_steps_per_second": 10.242
+}

inference_tweak_params.json

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+{"min_error_probability": 0.66, "additional_confidence": 0.0}

pytorch_model.bin

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "$START"
+  ],
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
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+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
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+  "bos_token": "<s>",
+  "cls_token": "<s>",
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+  "errors": "replace",
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+  "model_max_length": 512,
+  "name_or_path": "model_saves/roberta-large_lemon-spell_10k_3_p2",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "special_tokens_map_file": null,
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

train_results.json

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+{
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+    "train_runtime": 251.7898,
+    "train_samples": 34304,
+    "train_samples_per_second": 2043.61,
+    "train_steps_per_second": 15.966
+}

trainer_state.json

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training_args.bin

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