Text Generation
Transformers
Safetensors
English
llama
tiny
small-language-model
pretrained
wisp
text-generation-inference
Instructions to use DedeProGames/Wisp-5M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DedeProGames/Wisp-5M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="DedeProGames/Wisp-5M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DedeProGames/Wisp-5M") model = AutoModelForCausalLM.from_pretrained("DedeProGames/Wisp-5M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use DedeProGames/Wisp-5M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DedeProGames/Wisp-5M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DedeProGames/Wisp-5M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/DedeProGames/Wisp-5M
- SGLang
How to use DedeProGames/Wisp-5M with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "DedeProGames/Wisp-5M" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DedeProGames/Wisp-5M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "DedeProGames/Wisp-5M" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DedeProGames/Wisp-5M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use DedeProGames/Wisp-5M with Docker Model Runner:
docker model run hf.co/DedeProGames/Wisp-5M
Wisp-5M: 3.00B tokens
Browse files- config.json +28 -0
- generation_config.json +10 -0
- model.safetensors +3 -0
- special_tokens_map.json +9 -0
- tokenizer.json +0 -0
- tokenizer_config.json +13 -0
- training_log.jsonl +241 -0
- training_summary.json +41 -0
config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"model_type": "llama",
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"vocab_size": 8192,
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"hidden_size": 192,
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"intermediate_size": 512,
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"num_hidden_layers": 9,
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"num_attention_heads": 6,
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"num_key_value_heads": 2,
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"head_dim": 32,
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"hidden_act": "silu",
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"max_position_embeddings": 2048,
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"rope_theta": 10000.0,
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"rope_scaling": null,
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"rms_norm_eps": 1e-05,
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"initializer_range": 0.02,
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"attention_bias": false,
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"attention_dropout": 0.0,
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"mlp_bias": false,
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"tie_word_embeddings": true,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"pad_token_id": 1,
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"use_cache": true,
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"torch_dtype": "float32"
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}
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generation_config.json
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{
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"bos_token_id": 0,
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"eos_token_id": 0,
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"pad_token_id": 1,
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"do_sample": true,
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"temperature": 0.8,
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"top_p": 0.95,
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"repetition_penalty": 1.1,
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"max_new_tokens": 128
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:51bde3adc1001450a2491179459ec445d5ccaacb85d6eaed5fc72ee051eb0e2a
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size 20470784
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special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"pad_token": "<|pad|>",
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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]
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}
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tokenizer.json
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The diff for this file is too large to render.
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tokenizer_config.json
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{
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"tokenizer_class": "PreTrainedTokenizerFast",
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"pad_token": "<|pad|>",
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"unk_token": null,
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"model_max_length": 2048,
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"clean_up_tokenization_spaces": false
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}
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training_log.jsonl
ADDED
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| 1 |
+
{"step": 50, "tokens": 13107200, "loss": 6.2863, "lr": 0.002632, "gnorm": 1.794, "tok_s": 112970, "elapsed_min": 1.93, "eta_min": 172.3, "cost_usd": 0.025}
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| 2 |
+
{"step": 100, "tokens": 26214400, "loss": 5.3439, "lr": 0.005263, "gnorm": 0.522, "tok_s": 148170, "elapsed_min": 3.41, "eta_min": 170.8, "cost_usd": 0.035}
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| 3 |
+
{"step": 150, "tokens": 39321600, "loss": 5.004, "lr": 0.007895, "gnorm": 0.332, "tok_s": 147414, "elapsed_min": 4.89, "eta_min": 170.0, "cost_usd": 0.044}
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| 4 |
+
{"step": 200, "tokens": 52428800, "loss": 4.787, "lr": 0.01, "gnorm": 0.376, "tok_s": 147402, "elapsed_min": 6.37, "eta_min": 168.7, "cost_usd": 0.054}
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| 5 |
+
{"step": 250, "tokens": 65536000, "loss": 4.5665, "lr": 0.01, "gnorm": 0.309, "tok_s": 147478, "elapsed_min": 7.85, "eta_min": 166.6, "cost_usd": 0.064}
|
| 6 |
+
{"step": 300, "tokens": 78643200, "loss": 4.2811, "lr": 0.01, "gnorm": 0.283, "tok_s": 147505, "elapsed_min": 9.33, "eta_min": 164.8, "cost_usd": 0.074}
|
| 7 |
+
{"step": 350, "tokens": 91750400, "loss": 4.0843, "lr": 0.01, "gnorm": 0.293, "tok_s": 147582, "elapsed_min": 10.81, "eta_min": 163.3, "cost_usd": 0.084}
|
| 8 |
+
{"step": 400, "tokens": 104857600, "loss": 3.9369, "lr": 0.01, "gnorm": 0.274, "tok_s": 147644, "elapsed_min": 12.29, "eta_min": 161.9, "cost_usd": 0.094}
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| 9 |
+
{"step": 450, "tokens": 117964800, "loss": 3.7318, "lr": 0.01, "gnorm": 0.23, "tok_s": 147666, "elapsed_min": 13.77, "eta_min": 160.4, "cost_usd": 0.104}
|
| 10 |
+
{"step": 500, "tokens": 131072000, "loss": 3.6983, "lr": 0.01, "gnorm": 0.231, "tok_s": 147745, "elapsed_min": 15.25, "eta_min": 158.9, "cost_usd": 0.113}
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| 11 |
+
{"step": 550, "tokens": 144179200, "loss": 3.7879, "lr": 0.01, "gnorm": 0.238, "tok_s": 147778, "elapsed_min": 16.73, "eta_min": 157.4, "cost_usd": 0.123}
|
| 12 |
+
{"step": 600, "tokens": 157286400, "loss": 3.6755, "lr": 0.01, "gnorm": 0.216, "tok_s": 147836, "elapsed_min": 18.21, "eta_min": 155.9, "cost_usd": 0.133}
|
| 13 |
+
{"step": 650, "tokens": 170393600, "loss": 3.7285, "lr": 0.01, "gnorm": 0.243, "tok_s": 147795, "elapsed_min": 19.69, "eta_min": 154.5, "cost_usd": 0.143}
|
| 14 |
+
{"step": 700, "tokens": 183500800, "loss": 3.6543, "lr": 0.01, "gnorm": 0.235, "tok_s": 147825, "elapsed_min": 21.16, "eta_min": 153.0, "cost_usd": 0.153}
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| 15 |
+
{"step": 750, "tokens": 196608000, "loss": 3.6663, "lr": 0.01, "gnorm": 0.242, "tok_s": 147914, "elapsed_min": 22.64, "eta_min": 151.5, "cost_usd": 0.163}
|
| 16 |
+
{"step": 800, "tokens": 209715200, "loss": 3.6651, "lr": 0.01, "gnorm": 0.204, "tok_s": 147840, "elapsed_min": 24.12, "eta_min": 150.1, "cost_usd": 0.173}
|
| 17 |
+
{"step": 850, "tokens": 222822400, "loss": 3.5437, "lr": 0.01, "gnorm": 0.188, "tok_s": 147859, "elapsed_min": 25.6, "eta_min": 148.6, "cost_usd": 0.182}
|
| 18 |
+
{"step": 900, "tokens": 235929600, "loss": 3.345, "lr": 0.01, "gnorm": 0.232, "tok_s": 147809, "elapsed_min": 27.07, "eta_min": 147.2, "cost_usd": 0.192}
|
| 19 |
+
{"step": 950, "tokens": 249036800, "loss": 3.5323, "lr": 0.01, "gnorm": 0.189, "tok_s": 147815, "elapsed_min": 28.55, "eta_min": 145.7, "cost_usd": 0.202}
|
| 20 |
+
{"step": 1000, "tokens": 262144000, "loss": 3.5837, "lr": 0.01, "gnorm": 0.216, "tok_s": 147895, "elapsed_min": 30.03, "eta_min": 144.2, "cost_usd": 0.212}
|
| 21 |
+
{"step": 1000, "tokens": 262144000, "val": {"dclm": 3.8555, "finemath": 3.0666, "fineweb": 3.6721, "stack": 2.3637, "avg": 3.2395}}
|
| 22 |
+
{"step": 1050, "tokens": 275251200, "loss": 3.5221, "lr": 0.01, "gnorm": 0.184, "tok_s": 144654, "elapsed_min": 31.54, "eta_min": 142.6, "cost_usd": 0.222}
|
| 23 |
+
{"step": 1100, "tokens": 288358400, "loss": 3.5472, "lr": 0.01, "gnorm": 0.208, "tok_s": 147937, "elapsed_min": 33.02, "eta_min": 141.2, "cost_usd": 0.232}
|
| 24 |
+
{"step": 1150, "tokens": 301465600, "loss": 3.5529, "lr": 0.01, "gnorm": 0.213, "tok_s": 148044, "elapsed_min": 34.49, "eta_min": 139.7, "cost_usd": 0.242}
|
| 25 |
+
{"step": 1200, "tokens": 314572800, "loss": 3.4755, "lr": 0.01, "gnorm": 0.209, "tok_s": 147977, "elapsed_min": 35.97, "eta_min": 138.2, "cost_usd": 0.252}
|
| 26 |
+
{"step": 1250, "tokens": 327680000, "loss": 3.5551, "lr": 0.01, "gnorm": 0.249, "tok_s": 147978, "elapsed_min": 37.44, "eta_min": 301.0, "cost_usd": 0.261}
|
| 27 |
+
{"step": 1300, "tokens": 340787200, "loss": 3.4471, "lr": 0.01, "gnorm": 0.192, "tok_s": 147877, "elapsed_min": 38.92, "eta_min": 299.6, "cost_usd": 0.271}
|
| 28 |
+
{"step": 1350, "tokens": 353894400, "loss": 3.5183, "lr": 0.01, "gnorm": 0.217, "tok_s": 147818, "elapsed_min": 40.4, "eta_min": 298.3, "cost_usd": 0.281}
|
| 29 |
+
{"step": 1400, "tokens": 367001600, "loss": 3.3952, "lr": 0.01, "gnorm": 0.188, "tok_s": 147939, "elapsed_min": 41.88, "eta_min": 296.7, "cost_usd": 0.291}
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| 30 |
+
{"step": 1450, "tokens": 380108800, "loss": 3.5208, "lr": 0.01, "gnorm": 0.194, "tok_s": 147940, "elapsed_min": 43.35, "eta_min": 295.1, "cost_usd": 0.301}
|
| 31 |
+
{"step": 1500, "tokens": 393216000, "loss": 3.3653, "lr": 0.01, "gnorm": 0.199, "tok_s": 148061, "elapsed_min": 44.83, "eta_min": 293.5, "cost_usd": 0.311}
|
| 32 |
+
{"step": 1550, "tokens": 406323200, "loss": 3.5222, "lr": 0.01, "gnorm": 0.202, "tok_s": 148126, "elapsed_min": 46.3, "eta_min": 291.9, "cost_usd": 0.32}
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| 33 |
+
{"step": 1600, "tokens": 419430400, "loss": 3.3801, "lr": 0.01, "gnorm": 0.201, "tok_s": 148038, "elapsed_min": 47.78, "eta_min": 290.4, "cost_usd": 0.33}
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| 34 |
+
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{"step": 10550, "tokens": 2765619200, "loss": 3.1176, "lr": 0.00391, "gnorm": 0.195, "tok_s": 147343, "elapsed_min": 313.24, "eta_min": 26.5, "cost_usd": 2.1}
|
| 222 |
+
{"step": 10600, "tokens": 2778726400, "loss": 3.2894, "lr": 0.003692, "gnorm": 0.196, "tok_s": 147356, "elapsed_min": 314.72, "eta_min": 25.0, "cost_usd": 2.11}
|
| 223 |
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{"step": 10650, "tokens": 2791833600, "loss": 3.1497, "lr": 0.003473, "gnorm": 0.197, "tok_s": 147307, "elapsed_min": 316.2, "eta_min": 23.5, "cost_usd": 2.12}
|
| 224 |
+
{"step": 10700, "tokens": 2804940800, "loss": 3.2232, "lr": 0.003255, "gnorm": 0.187, "tok_s": 147436, "elapsed_min": 317.68, "eta_min": 22.1, "cost_usd": 2.13}
|
| 225 |
+
{"step": 10750, "tokens": 2818048000, "loss": 3.1616, "lr": 0.003036, "gnorm": 0.176, "tok_s": 147414, "elapsed_min": 319.16, "eta_min": 20.6, "cost_usd": 2.14}
|
| 226 |
+
{"step": 10800, "tokens": 2831155200, "loss": 3.1348, "lr": 0.002818, "gnorm": 0.203, "tok_s": 147361, "elapsed_min": 320.65, "eta_min": 19.1, "cost_usd": 2.149}
|
| 227 |
+
{"step": 10850, "tokens": 2844262400, "loss": 3.1003, "lr": 0.002599, "gnorm": 0.174, "tok_s": 147355, "elapsed_min": 322.13, "eta_min": 17.6, "cost_usd": 2.159}
|
| 228 |
+
{"step": 10900, "tokens": 2857369600, "loss": 3.0696, "lr": 0.002381, "gnorm": 0.149, "tok_s": 147174, "elapsed_min": 323.61, "eta_min": 16.1, "cost_usd": 2.169}
|
| 229 |
+
{"step": 10950, "tokens": 2870476800, "loss": 3.0913, "lr": 0.002163, "gnorm": 0.19, "tok_s": 147325, "elapsed_min": 325.1, "eta_min": 14.7, "cost_usd": 2.179}
|
| 230 |
+
{"step": 11000, "tokens": 2883584000, "loss": 3.132, "lr": 0.001944, "gnorm": 0.166, "tok_s": 147234, "elapsed_min": 326.58, "eta_min": 13.2, "cost_usd": 2.189}
|
| 231 |
+
{"step": 11000, "tokens": 2883584000, "val": {"dclm": 3.4975, "finemath": 2.623, "fineweb": 3.2736, "stack": 1.8298, "avg": 2.806}}
|
| 232 |
+
{"step": 11050, "tokens": 2896691200, "loss": 3.2088, "lr": 0.001726, "gnorm": 0.146, "tok_s": 144409, "elapsed_min": 328.09, "eta_min": 11.7, "cost_usd": 2.199}
|
| 233 |
+
{"step": 11100, "tokens": 2909798400, "loss": 3.0317, "lr": 0.001507, "gnorm": 0.132, "tok_s": 147325, "elapsed_min": 329.58, "eta_min": 10.2, "cost_usd": 2.209}
|
| 234 |
+
{"step": 11150, "tokens": 2922905600, "loss": 3.0893, "lr": 0.001289, "gnorm": 0.137, "tok_s": 147189, "elapsed_min": 331.06, "eta_min": 8.7, "cost_usd": 2.219}
|
| 235 |
+
{"step": 11200, "tokens": 2936012800, "loss": 3.2157, "lr": 0.00107, "gnorm": 0.124, "tok_s": 147411, "elapsed_min": 332.54, "eta_min": 7.2, "cost_usd": 2.229}
|
| 236 |
+
{"step": 11250, "tokens": 2949120000, "loss": 3.1137, "lr": 0.000852, "gnorm": 0.122, "tok_s": 147329, "elapsed_min": 334.02, "eta_min": 5.8, "cost_usd": 2.239}
|
| 237 |
+
{"step": 11300, "tokens": 2962227200, "loss": 3.179, "lr": 0.000633, "gnorm": 0.132, "tok_s": 147356, "elapsed_min": 335.51, "eta_min": 4.3, "cost_usd": 2.249}
|
| 238 |
+
{"step": 11350, "tokens": 2975334400, "loss": 3.0909, "lr": 0.000415, "gnorm": 0.123, "tok_s": 147325, "elapsed_min": 336.99, "eta_min": 2.8, "cost_usd": 2.258}
|
| 239 |
+
{"step": 11400, "tokens": 2988441600, "loss": 2.9855, "lr": 0.000197, "gnorm": 0.109, "tok_s": 147397, "elapsed_min": 338.47, "eta_min": 1.3, "cost_usd": 2.268}
|
| 240 |
+
{"step": 11444, "tokens": 2999975936, "loss": 3.1066, "lr": 4e-06, "gnorm": 0.117, "tok_s": 147429, "elapsed_min": 339.78, "eta_min": 0.0, "cost_usd": 2.277}
|
| 241 |
+
{"step": 11444, "tokens": 2999975936, "val": {"dclm": 3.4559, "finemath": 2.5755, "fineweb": 3.2282, "stack": 1.7677, "avg": 2.7568}}
|
training_summary.json
ADDED
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+
{
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+
"size": "5M",
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+
"params": 5115456,
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+
"config": {
|
| 5 |
+
"vocab_size": 8192,
|
| 6 |
+
"hidden_size": 192,
|
| 7 |
+
"intermediate_size": 512,
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| 8 |
+
"num_hidden_layers": 9,
|
| 9 |
+
"num_attention_heads": 6,
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| 10 |
+
"num_key_value_heads": 2,
|
| 11 |
+
"max_position_embeddings": 2048,
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| 12 |
+
"rope_theta": 10000.0,
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+
"rms_norm_eps": 1e-05,
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+
"initializer_range": 0.02
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+
},
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| 16 |
+
"tokens": 2999975936,
|
| 17 |
+
"steps": 11444,
|
| 18 |
+
"batch_tokens": 262144,
|
| 19 |
+
"seq_len": 2048,
|
| 20 |
+
"opt": "muon",
|
| 21 |
+
"lr": 0.01,
|
| 22 |
+
"wd": 0.1,
|
| 23 |
+
"warmup_frac": 0.01,
|
| 24 |
+
"decay_frac": 0.2,
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| 25 |
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"gpu": "Tesla T4",
|
| 26 |
+
"train_minutes": 339.8,
|
| 27 |
+
"final_val": {
|
| 28 |
+
"dclm": 3.4559,
|
| 29 |
+
"finemath": 2.5755,
|
| 30 |
+
"fineweb": 3.2282,
|
| 31 |
+
"stack": 1.7677,
|
| 32 |
+
"avg": 2.7568
|
| 33 |
+
},
|
| 34 |
+
"samples": [
|
| 35 |
+
"The meaning of life is the same as the meaning of life. The meaning of life is the same as the meaning of life.\nThe meaning of life is the same as the meaning of life. It means that we know what we are doing and how we can do",
|
| 36 |
+
"Once upon a time, the world was not as much of an issue. The world had to be more than just a single day and a week.\nThe world was very different from what we have today. We are all in our own homes. It is a great",
|
| 37 |
+
"def is_prime(n): 10\n# 2. The number of digits in the first digit is 3, and the last digit is 4.\n# 3. The number of digits in the second digit is 5, and the last digit",
|
| 38 |
+
"The derivative of x^2 is the product of its value. The derivative of y^2 is the product of its value.\n\n## 1. What are the derivatives?\n\n### 3. How do you find the derivative of x^2?\n\n### "
|
| 39 |
+
],
|
| 40 |
+
"parity_max_diff": 1.621246337890625e-05
|
| 41 |
+
}
|