Model save
Browse files- README.md +3 -3
- all_results.json +11 -11
- config.json +1 -2
- eval_results.json +5 -5
- generation_config.json +1 -1
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
- runs/May03_00-37-47_w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-86twgc7/events.out.tfevents.1746232925.w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-86twgc7.20497.0 +3 -0
- runs/May03_00-37-47_w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-86twgc7/events.out.tfevents.1746233072.w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-86twgc7.20497.1 +3 -0
- runs/May03_00-46-52_w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-86twgc7/events.out.tfevents.1746233365.w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-86twgc7.22790.0 +3 -0
- runs/May03_02-16-51_w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-86twgc7/events.out.tfevents.1746238878.w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-86twgc7.53998.0 +3 -0
- special_tokens_map.json +37 -2
- tokenizer.json +2 -2
- tokenizer_config.json +51 -6
- train_results.json +7 -7
- trainer_state.json +1614 -605
- training_args.bin +1 -1
README.md
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## Training procedure
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-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/jerome-ramos-20/huggingface/runs/
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.14.0
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-
- Transformers: 4.
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-
- Pytorch: 2.
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- Datasets: 3.0.1
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- Tokenizers: 0.21.0
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## Training procedure
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+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/jerome-ramos-20/huggingface/runs/pn3887gl)
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.14.0
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+
- Transformers: 4.51.3
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- Pytorch: 2.6.0
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- Datasets: 3.0.1
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- Tokenizers: 0.21.0
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all_results.json
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{
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"epoch": 1.
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"eval_loss":
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"eval_runtime":
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"eval_samples": 2071,
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"total_flos":
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"train_loss": 0.
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}
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"epoch": 1.9982692973347178,
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"eval_loss": 8.507396697998047,
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"eval_runtime": 55.108,
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"eval_samples_per_second": 37.581,
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"eval_steps_per_second": 2.359,
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"total_flos": 4.75579504107769e+18,
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"train_loss": 0.8681613599824773,
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"train_runtime": 10264.6857,
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"train_samples": 46218,
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"train_samples_per_second": 9.005,
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"train_steps_per_second": 0.141
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}
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config.json
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{
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"_name_or_path": "meta-llama/Llama-3.1-8B",
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"architectures": [
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"LlamaForCausalLM"
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],
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.
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"use_cache": false,
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"vocab_size": 128320
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}
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{
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"architectures": [
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"LlamaForCausalLM"
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.51.3",
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"vocab_size": 128320
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}
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eval_results.json
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{
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"epoch":
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"eval_loss":
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{
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"epoch": 0.013831258644536652,
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"eval_loss": 8.507396697998047,
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"eval_runtime": 55.108,
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"eval_samples_per_second": 37.581,
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generation_config.json
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special_tokens_map.json
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tokenizer_config.json
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