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Model: pszemraj/pythia-31m-simplewiki-2048
Source: Original Platform

.gitattributes

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README.md

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+---
+
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+inference:
+  parameters:
+    max_new_tokens: 64
+    do_sample: true
+    repetition_penalty: 1.1
+    no_repeat_ngram_size: 5
+    guidance_scale: 1.01
+    eta_cutoff: 0.001
+widget:
+- text: My name is El Microondas the Wise and
+  example_title: El Microondas
+- text: A meme is
+  example_title: meme
+- text: >-
+    Barack Obama nominated Hilary Clinton as his secretary of state on Monday.
+    He chose her because she had
+  example_title: Coreference resolution
+- text: >-
+    On a shelf, there are five books: a gray book, a red book, a purple book, a
+    blue book, and a black book
+  example_title: Logic puzzles
+- text: >-
+    The two men running to become New York City's next mayor will face off in
+    their first debate Wednesday night
+  example_title: Reading comprehension
+datasets:
+- pszemraj/simple_wikipedia_LM
+pipeline_tag: text-generation
+license: apache-2.0
+---
+
+<!-- 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. -->
+
+# pythia-31m-simplewiki-2048
+
+This was initialized from random weights based on the config of [EleutherAI/pythia-31m](https://huggingface.co/EleutherAI/pythia-31m) and trained on `pszemraj/simple_wikipedia_LM` for 3 epochs.
+
+It achieves the following results on the evaluation set:
+- Loss: 3.6874
+- Accuracy: 0.4105
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+This is a baseline for comparison to other models. 
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0005
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 80085
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
+- lr_scheduler_type: inverse_sqrt
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 6.0657        | 0.22  | 100  | 5.6210          | 0.2414   |
+| 5.2447        | 0.45  | 200  | 4.9316          | 0.3054   |
+| 4.8397        | 0.67  | 300  | 4.6011          | 0.3343   |
+| 4.7933        | 0.9   | 400  | 4.3878          | 0.3530   |
+| 4.274         | 1.12  | 500  | 4.2352          | 0.3646   |
+| 4.4867        | 1.35  | 600  | 4.1224          | 0.3723   |
+| 4.3434        | 1.57  | 700  | 4.0282          | 0.3791   |
+| 4.1857        | 1.8   | 800  | 3.9552          | 0.3841   |
+| 4.229         | 2.02  | 900  | 3.8890          | 0.3909   |
+| 3.9189        | 2.25  | 1000 | 3.8301          | 0.3967   |
+| 4.084         | 2.47  | 1100 | 3.7782          | 0.4023   |
+| 3.8965        | 2.7   | 1200 | 3.7302          | 0.4069   |
+| 3.915         | 2.92  | 1300 | 3.6874          | 0.4105   |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.2.0.dev20230907+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_pszemraj__pythia-31m-simplewiki-2048)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 24.35   |
+| ARC (25-shot)         | 22.18          |
+| HellaSwag (10-shot)   | 25.55    |
+| MMLU (5-shot)         | 23.12         |
+| TruthfulQA (0-shot)   | 49.37   |
+| Winogrande (5-shot)   | 49.41   |
+| GSM8K (5-shot)        | 0.0        |
+| DROP (3-shot)         | 0.81         |

config.json

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+{
+  "_name_or_path": "EleutherAI/pythia-31m",
+  "architectures": [
+    "GPTNeoXForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.1,
+  "eos_token_id": 0,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 256,
+  "initializer_range": 0.02,
+  "intermediate_size": 1024,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neox",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 6,
+  "rope_scaling": null,
+  "rotary_emb_base": 10000,
+  "rotary_pct": 0.25,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.1",
+  "use_cache": true,
+  "use_parallel_residual": true,
+  "vocab_size": 50304
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.33.1"
+}

model.safetensors

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special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1000000000000000019884624838656,
+  "tokenizer_class": "GPTNeoXTokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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