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Model: pszemraj/pythia-31m-simplewiki-scratch-bf16 Source: Original Platform
2026-05-07 05:20:13 +08:00
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--- a/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
+license: apache-2.0
+datasets:
+- pszemraj/simple_wikipedia_LM
+pipeline_tag: text-generation
+---
+
+<!-- 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-scratch-bf16
+
+Trained from random initialized config based on [EleutherAI/pythia-31m](https://huggingface.co/EleutherAI/pythia-31m), 3 epochs bf16
+It achieves the following results on the evaluation set:
+- Loss: 4.1763
+- Accuracy: 0.3676
+
+## Model description
+
+tuned with bf16 (previous was fp32)
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+```
+***** eval metrics *****                                              
+  epoch                   =       2.99                   
+  eval_accuracy           =     0.3723                                  eval_loss               =     4.1155                                
+  eval_runtime            = 0:00:14.44                                
+  eval_samples            =        500                                  eval_samples_per_second =     34.602                                  eval_steps_per_second   =     17.301                              
+  perplexity              =    61.2811
+```
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0005
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 80085
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 128
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 5.8617        | 0.45  | 100  | 5.5276          | 0.2451   |
+| 5.2782        | 0.9   | 200  | 4.9596          | 0.2965   |
+| 4.9996        | 1.35  | 300  | 4.6412          | 0.3310   |
+| 4.6292        | 1.8   | 400  | 4.4344          | 0.3485   |
+| 4.5339        | 2.25  | 500  | 4.2875          | 0.3600   |
+| 4.5214        | 2.7   | 600  | 4.1763          | 0.3676   |
+
+
+### 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-scratch-bf16)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 24.63   |
+| ARC (25-shot)         | 22.78          |
+| HellaSwag (10-shot)   | 25.61    |
+| MMLU (5-shot)         | 23.12         |
+| TruthfulQA (0-shot)   | 49.65   |
+| Winogrande (5-shot)   | 50.51   |
+| GSM8K (5-shot)        | 0.0        |
+| DROP (3-shot)         | 0.72         |
--- a/all_results.json
+++ b/all_results.json
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+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.4115085490962384,
+    "eval_loss": 3.6757330894470215,
+    "eval_runtime": 15.1278,
+    "eval_samples": 500,
+    "eval_samples_per_second": 33.052,
+    "eval_steps_per_second": 16.526,
+    "perplexity": 39.47758685408379,
+    "train_loss": 4.728262927737576,
+    "train_runtime": 4788.6915,
+    "train_samples": 28488,
+    "train_samples_per_second": 17.847,
+    "train_steps_per_second": 0.279
+}
--- a/config.json
+++ b/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
+}
--- a/eval_results.json
+++ b/eval_results.json
@@ -0,0 +1,10 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.4115085490962384,
+    "eval_loss": 3.6757330894470215,
+    "eval_runtime": 15.1278,
+    "eval_samples": 500,
+    "eval_samples_per_second": 33.052,
+    "eval_steps_per_second": 16.526,
+    "perplexity": 39.47758685408379
+}
--- a/generation_config.json
+++ b/generation_config.json
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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.33.1"
+}
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--- a/special_tokens_map.json
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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}
--- a/tokenizer.json
+++ b/tokenizer.json
--- a/tokenizer_config.json
+++ b/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|>"
+}
--- a/train_results.json
+++ b/train_results.json
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+{
+    "epoch": 3.0,
+    "train_loss": 4.728262927737576,
+    "train_runtime": 4788.6915,
+    "train_samples": 28488,
+    "train_samples_per_second": 17.847,
+    "train_steps_per_second": 0.279
+}
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