End of training
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README.md
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---
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license: apache-2.0
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base_model: HuggingFaceTB/SmolLM-135M
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tags:
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- generated_from_trainer
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model-index:
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- name: databricks_smoLLM
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# databricks_smoLLM
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3961
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 375 | 2.2360 |
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| 2.2313 | 2.0 | 750 | 2.2261 |
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| 1.9899 | 3.0 | 1125 | 2.2366 |
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| 1.8532 | 4.0 | 1500 | 2.2560 |
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| 1.8532 | 5.0 | 1875 | 2.2812 |
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| 1.7256 | 6.0 | 2250 | 2.3115 |
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| 1.6295 | 7.0 | 2625 | 2.3371 |
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| 1.5634 | 8.0 | 3000 | 2.3663 |
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| 1.5634 | 9.0 | 3375 | 2.3875 |
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| 1.5089 | 10.0 | 3750 | 2.3961 |
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "HuggingFaceTB/SmolLM-135M",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"hidden_act": "silu",
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"hidden_size": 576,
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"max_position_embeddings": 2048,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 9,
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"num_hidden_layers": 30,
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"num_key_value_heads": 3,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.42.3",
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"use_cache": true,
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"vocab_size": 49152
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"transformers_version": "4.42.3"
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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 sha256:8a696a8152c891bc0c4cd55f6357626ec7fcc43118d4ffa525e07326d751c3a6
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size 538090408
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runs/Aug03_16-05-41_ecb93859de51/events.out.tfevents.1722701144.ecb93859de51.34.0
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version https://git-lfs.github.com/spec/v1
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size 4905
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runs/Aug03_16-07-01_ecb93859de51/events.out.tfevents.1722701223.ecb93859de51.34.1
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version https://git-lfs.github.com/spec/v1
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size 4905
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e98dfbe0dfab124c1968293d738ddd25a1f388143a5994e54495bd76aedfb33f
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size 5112
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