Adding Evaluation Results

README.md

@@ -1,26 +1,20 @@
 ---
+language:
+- nl
 license: apache-2.0
-base_model: mistralai/Mistral-7B-v0.1
 tags:
 - generated_from_trainer
 - GEITje
 datasets:
 - Rijgersberg/GEITje-pretrain-10b
+base_model: mistralai/Mistral-7B-v0.1
 model-index:
 - name: GEITje-v1-7B
   results: []
-language:
-- nl
 ---
 
 # GEITje-7B
 
-> [!CAUTION]
-> **⚠️ At the pressing request of Stichting BREIN, GEITje is no longer available, starting immediately. ⚠️**
-> 
-> All model files (the _weights_) and checkpoints have been deleted from this repo.
-> See my blog post ([Dutch](https://goingdutch.ai/nl/posts/geitje-takedown/), [English](https://goingdutch.ai/en/posts/geitje-takedown/)) for further clarification.
-
 GEITje is a large open Dutch language model with 7 billion parameters, based on Mistral 7B.
 It has been further trained on 10 billion tokens of Dutch text.
 This has improved its Dutch language skills and increased its knowledge of Dutch topics.
@@ -46,9 +40,6 @@ Like Mistral, GEITje has a _context length_ of 8,192 tokens.
 ## More info
 Read more about GEITje in the [📄 README](https://github.com/Rijgersberg/GEITje/blob/main/README-en.md) on GitHub.
 
-## Checkpoints
-Intermediate checkpoints are available in the `checkpoints` branch.
-
 ## Training procedure
 
 ### Training hyperparameters
@@ -126,4 +117,17 @@ The following hyperparameters were used during training:
 - Transformers 4.36.0.dev0
 - Pytorch 2.1.1+cu121
 - Datasets 2.15.0
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0
+# [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_Rijgersberg__GEITje-7B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |50.53|
+|AI2 Reasoning Challenge (25-Shot)|44.80|
+|HellaSwag (10-Shot)              |75.31|
+|MMLU (5-Shot)                    |50.10|
+|TruthfulQA (0-shot)              |40.45|
+|Winogrande (5-shot)              |72.38|
+|GSM8k (5-shot)                   |20.17|
+

checkpoint-1194/config.json

@@ -0,0 +1,27 @@
+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_token_id": 2,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

checkpoint-1194/generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.36.0.dev0"
+}

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