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Model: pszemraj/pythia-31m-KI_v1-2048-scratch
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
+pipeline_tag: text-generation
+license: apache-2.0
+language:
+  - en
+---
+
+# pythia-31m-KI_v1-2048-scratch
+
+Initialized from random weights based on config of [EleutherAI/pythia-31m](https://huggingface.co/EleutherAI/pythia-31m), 3 epochs bf16
+It achieves the following results on the evaluation set:
+- Loss: 4.6160
+- Accuracy: 0.2448
+
+## 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: 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 6.3874        | 0.16  | 100  | 6.4212          | 0.1487   |
+| 5.7088        | 0.32  | 200  | 5.7926          | 0.1725   |
+| 5.4575        | 0.48  | 300  | 5.5160          | 0.1903   |
+| 5.2451        | 0.64  | 400  | 5.3429          | 0.1995   |
+| 5.0954        | 0.8   | 500  | 5.2109          | 0.2059   |
+| 5.0358        | 0.96  | 600  | 5.1068          | 0.2123   |
+| 4.94          | 1.12  | 700  | 5.0321          | 0.2157   |
+| 4.8532        | 1.28  | 800  | 4.9605          | 0.2202   |
+| 4.7602        | 1.44  | 900  | 4.9047          | 0.224    |
+| 4.6965        | 1.6   | 1000 | 4.8526          | 0.2276   |
+| 4.6855        | 1.76  | 1100 | 4.8139          | 0.2300   |
+| 4.6573        | 1.91  | 1200 | 4.7739          | 0.2327   |
+| 4.5968        | 2.07  | 1300 | 4.7451          | 0.2346   |
+| 4.5688        | 2.23  | 1400 | 4.7152          | 0.2370   |
+| 4.5205        | 2.39  | 1500 | 4.6842          | 0.2396   |
+| 4.5369        | 2.55  | 1600 | 4.6598          | 0.2410   |
+| 4.5106        | 2.71  | 1700 | 4.6352          | 0.2433   |
+| 4.4375        | 2.87  | 1800 | 4.6160          | 0.2448   |
+
+
+# [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-KI_v1-2048-scratch)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 25.21   |
+| ARC (25-shot)         | 23.12          |
+| HellaSwag (10-shot)   | 25.23    |
+| MMLU (5-shot)         | 23.12         |
+| TruthfulQA (0-shot)   | 51.67   |
+| Winogrande (5-shot)   | 51.78   |
+| GSM8K (5-shot)        | 0.0        |
+| DROP (3-shot)         | 1.52         |

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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