Super-squash branch 'main' using huggingface_hub

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README.md

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+---
+license: apache-2.0
+base_model: distilroberta-base
+tags:
+- generated_from_trainer
+inference: false
+datasets:
+- HuggingFaceFW/fineweb-edu-llama3-annotations
+language:
+- en
+metrics:
+- mse
+---
+
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/pszemraj/eduscore-regression/runs/8e2uvp5t)
+# distilroberta-base-edu-classifier
+
+This predicts an 'eduscore' from 0-5 for given text. You can see an example dataset classified with this model [here](https://huggingface.co/datasets/pszemraj/minipile-graded)
+
+## Details
+
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the HuggingFaceFW/fineweb-edu-llama3-annotations dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2194
+- Mse: 0.2194
+
+
+## Usage 
+
+
+Same as the others, will add later
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 90085
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-09
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 1.0

all_results.json

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+{
+    "epoch": 0.9999279383151978,
+    "eval_loss": 0.2193743884563446,
+    "eval_mse": 0.2193743917504471,
+    "eval_runtime": 3.5292,
+    "eval_samples": 1000,
+    "eval_samples_per_second": 283.348,
+    "eval_steps_per_second": 17.851,
+    "total_flos": 5.881871499303322e+16,
+    "train_loss": 0.2843814373497456,
+    "train_runtime": 1907.7343,
+    "train_samples": 444052,
+    "train_samples_per_second": 232.764,
+    "train_steps_per_second": 1.818
+}

config.json

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+{
+  "_name_or_path": "distilroberta-base",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "finetuning_task": "text-classification",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "regression",
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

eval_results.json

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+{
+    "epoch": 0.9999279383151978,
+    "eval_loss": 0.2193743884563446,
+    "eval_mse": 0.2193743917504471,
+    "eval_runtime": 3.5292,
+    "eval_samples": 1000,
+    "eval_samples_per_second": 283.348,
+    "eval_steps_per_second": 17.851
+}

model.safetensors

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regression_config.json

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+{
+  "min_value": 0.0,
+  "max_value": 5.0,
+  "metadata": {
+    "dataset": "HuggingFaceFW/fineweb-edu-llama3-annotations",
+    "task": "regression",
+    "num_examples": 444052,
+    "stats": {
+      "mean": 1.2964269950366174,
+      "min": 0.0,
+      "max": 5.0,
+      "std_dev": 0.8377157123327311
+    }
+  }
+}

special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "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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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "3": {
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

train_results.json

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+{
+    "epoch": 0.9999279383151978,
+    "total_flos": 5.881871499303322e+16,
+    "train_loss": 0.2843814373497456,
+    "train_runtime": 1907.7343,
+    "train_samples": 444052,
+    "train_samples_per_second": 232.764,
+    "train_steps_per_second": 1.818
+}

training_args.bin

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