Model save
Browse files- README.md +66 -0
- all_results.json +9 -0
- config.json +30 -0
- generation_config.json +8 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- runs/Aug26_20-32-44_GPU-4090s7/events.out.tfevents.1724697710.GPU-4090s7.3310924.0 +3 -0
- special_tokens_map.json +28 -0
- tokenizer.json +0 -0
- tokenizer_config.json +154 -0
- train_results.json +9 -0
- trainer_state.json +3739 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: HuggingFaceTB/SmolLM-360M-Instruct
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: smollm-360M-aliases-5
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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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# smollm-360M-aliases-5
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-360M-Instruct) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2808
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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: 0.001
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.7448 | 0.9997 | 2633 | 2.2808 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9997152349311818,
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| 3 |
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"total_flos": 32299470028800.0,
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| 4 |
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"train_loss": 1.3562805264158209,
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| 5 |
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"train_runtime": 3817.2623,
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| 6 |
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"train_samples": 750000,
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| 7 |
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"train_samples_per_second": 11.039,
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"train_steps_per_second": 0.69
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}
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config.json
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{
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"_name_or_path": "HuggingFaceTB/SmolLM-360M-Instruct",
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"architectures": [
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"LlamaForCausalLM"
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| 5 |
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],
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"attention_bias": false,
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| 7 |
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"attention_dropout": 0.0,
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| 8 |
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"bos_token_id": 1,
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| 9 |
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"eos_token_id": 2,
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| 10 |
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"hidden_act": "silu",
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| 11 |
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"hidden_size": 960,
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| 12 |
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"initializer_range": 0.02,
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| 13 |
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"intermediate_size": 2560,
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| 14 |
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"max_position_embeddings": 2048,
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| 15 |
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"mlp_bias": false,
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"model_type": "llama",
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| 17 |
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"num_attention_heads": 15,
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| 18 |
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"num_hidden_layers": 32,
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| 19 |
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"num_key_value_heads": 5,
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| 20 |
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"pad_token_id": 2,
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| 21 |
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"pretraining_tp": 1,
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| 22 |
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"rms_norm_eps": 1e-05,
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| 23 |
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"rope_scaling": null,
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| 24 |
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"rope_theta": 10000.0,
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"tie_word_embeddings": true,
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| 26 |
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"torch_dtype": "bfloat16",
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| 27 |
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"transformers_version": "4.44.2",
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| 28 |
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"use_cache": false,
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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": 1,
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| 4 |
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"eos_token_id": 2,
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| 5 |
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"max_new_tokens": 40,
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| 6 |
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"pad_token_id": 2,
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| 7 |
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"transformers_version": "4.44.2"
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| 8 |
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:404eeb911bf2394c6c2e28a58c417a0b0fd0bdc700e6c0b8ca72d59c27ed89b3
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| 3 |
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size 723674912
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runs/Aug26_20-32-44_GPU-4090s7/events.out.tfevents.1724697710.GPU-4090s7.3310924.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:a958fe294d4e3b83b44e96a82afdee9c50957af306b95470a4f6ef5e52d6f38a
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size 117169
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special_tokens_map.json
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{
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"additional_special_tokens": [
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{
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| 4 |
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"content": "<|im_start|>",
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| 5 |
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"lstrip": false,
|
| 6 |
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"normalized": false,
|
| 7 |
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"rstrip": false,
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| 8 |
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"single_word": false
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| 9 |
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},
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| 10 |
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{
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| 11 |
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"content": "<|im_end|>",
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| 12 |
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"lstrip": false,
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| 13 |
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"normalized": false,
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| 14 |
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"rstrip": false,
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| 15 |
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"single_word": false
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| 16 |
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}
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| 17 |
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],
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| 18 |
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"bos_token": "<|im_start|>",
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| 19 |
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"eos_token": "<|im_end|>",
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| 20 |
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"pad_token": "<|im_end|>",
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| 21 |
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"unk_token": {
|
| 22 |
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"content": "<|endoftext|>",
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| 23 |
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"lstrip": false,
|
| 24 |
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"normalized": false,
|
| 25 |
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"rstrip": false,
|
| 26 |
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"single_word": false
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| 27 |
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}
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| 28 |
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}
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tokenizer.json
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tokenizer_config.json
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| 1 |
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{
|
| 2 |
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"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
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"content": "<|endoftext|>",
|
| 6 |
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"lstrip": false,
|
| 7 |
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"normalized": false,
|
| 8 |
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"rstrip": false,
|
| 9 |
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"single_word": false,
|
| 10 |
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"special": true
|
| 11 |
+
},
|
| 12 |
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"1": {
|
| 13 |
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"content": "<|im_start|>",
|
| 14 |
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"lstrip": false,
|
| 15 |
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"normalized": false,
|
| 16 |
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|
| 17 |
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"single_word": false,
|
| 18 |
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"special": true
|
| 19 |
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},
|
| 20 |
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"2": {
|
| 21 |
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"content": "<|im_end|>",
|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<repo_name>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
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"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
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"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
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"4": {
|
| 37 |
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"content": "<reponame>",
|
| 38 |
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"lstrip": false,
|
| 39 |
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"normalized": false,
|
| 40 |
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"rstrip": false,
|
| 41 |
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"single_word": false,
|
| 42 |
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"special": true
|
| 43 |
+
},
|
| 44 |
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"5": {
|
| 45 |
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"content": "<file_sep>",
|
| 46 |
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"lstrip": false,
|
| 47 |
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"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
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"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
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"6": {
|
| 53 |
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"content": "<filename>",
|
| 54 |
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"lstrip": false,
|
| 55 |
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"normalized": false,
|
| 56 |
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"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
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"7": {
|
| 61 |
+
"content": "<gh_stars>",
|
| 62 |
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"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"8": {
|
| 69 |
+
"content": "<issue_start>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
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"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
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"special": true
|
| 75 |
+
},
|
| 76 |
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"9": {
|
| 77 |
+
"content": "<issue_comment>",
|
| 78 |
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"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
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"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"10": {
|
| 85 |
+
"content": "<issue_closed>",
|
| 86 |
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"lstrip": false,
|
| 87 |
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"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
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"single_word": false,
|
| 90 |
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"special": true
|
| 91 |
+
},
|
| 92 |
+
"11": {
|
| 93 |
+
"content": "<jupyter_start>",
|
| 94 |
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"lstrip": false,
|
| 95 |
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"normalized": false,
|
| 96 |
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"rstrip": false,
|
| 97 |
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"single_word": false,
|
| 98 |
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"special": true
|
| 99 |
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},
|
| 100 |
+
"12": {
|
| 101 |
+
"content": "<jupyter_text>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"13": {
|
| 109 |
+
"content": "<jupyter_code>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
},
|
| 116 |
+
"14": {
|
| 117 |
+
"content": "<jupyter_output>",
|
| 118 |
+
"lstrip": false,
|
| 119 |
+
"normalized": false,
|
| 120 |
+
"rstrip": false,
|
| 121 |
+
"single_word": false,
|
| 122 |
+
"special": true
|
| 123 |
+
},
|
| 124 |
+
"15": {
|
| 125 |
+
"content": "<jupyter_script>",
|
| 126 |
+
"lstrip": false,
|
| 127 |
+
"normalized": false,
|
| 128 |
+
"rstrip": false,
|
| 129 |
+
"single_word": false,
|
| 130 |
+
"special": true
|
| 131 |
+
},
|
| 132 |
+
"16": {
|
| 133 |
+
"content": "<empty_output>",
|
| 134 |
+
"lstrip": false,
|
| 135 |
+
"normalized": false,
|
| 136 |
+
"rstrip": false,
|
| 137 |
+
"single_word": false,
|
| 138 |
+
"special": true
|
| 139 |
+
}
|
| 140 |
+
},
|
| 141 |
+
"additional_special_tokens": [
|
| 142 |
+
"<|im_start|>",
|
| 143 |
+
"<|im_end|>"
|
| 144 |
+
],
|
| 145 |
+
"bos_token": "<|im_start|>",
|
| 146 |
+
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 147 |
+
"clean_up_tokenization_spaces": false,
|
| 148 |
+
"eos_token": "<|im_end|>",
|
| 149 |
+
"model_max_length": 2048,
|
| 150 |
+
"pad_token": "<|im_end|>",
|
| 151 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 152 |
+
"unk_token": "<|endoftext|>",
|
| 153 |
+
"vocab_size": 49152
|
| 154 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9997152349311818,
|
| 3 |
+
"total_flos": 32299470028800.0,
|
| 4 |
+
"train_loss": 1.3562805264158209,
|
| 5 |
+
"train_runtime": 3817.2623,
|
| 6 |
+
"train_samples": 750000,
|
| 7 |
+
"train_samples_per_second": 11.039,
|
| 8 |
+
"train_steps_per_second": 0.69
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3739 @@
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