Commit
•
40291a8
1
Parent(s):
a728998
Model save
Browse files- README.md +62 -0
- all_results.json +13 -0
- config.json +27 -0
- eval_results.json +8 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- runs/Nov19_19-26-17_VincentPC/events.out.tfevents.1700440141.VincentPC.25449.0 +3 -0
- runs/Nov19_19-34-25_VincentPC/events.out.tfevents.1700440475.VincentPC.29517.0 +3 -0
- runs/Nov19_19-34-25_VincentPC/events.out.tfevents.1700483563.VincentPC.29517.1 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -0
- train_results.json +8 -0
- trainer_state.json +2778 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T
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tags:
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- generated_from_trainer
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model-index:
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- name: zephyr-1.1b-sft-full
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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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# zephyr-1.1b-sft-full
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1737
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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- total_eval_batch_size: 4
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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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- 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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| 1.1826 | 0.7 | 2282 | 1.1737 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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all_results.json
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{
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"epoch": 0.7,
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"eval_loss": 1.173698902130127,
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"eval_runtime": 1790.657,
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"eval_samples": 23110,
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"eval_samples_per_second": 12.906,
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"eval_steps_per_second": 3.227,
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"train_loss": 1.200063390965842,
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"train_runtime": 41297.3635,
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"train_samples": 207865,
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"train_samples_per_second": 5.033,
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"train_steps_per_second": 0.079
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}
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config.json
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{
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"_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T",
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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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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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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": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.35.0",
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"use_cache": false,
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"vocab_size": 32000
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}
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eval_results.json
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{
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"epoch": 0.7,
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"eval_loss": 1.173698902130127,
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"eval_runtime": 1790.657,
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"eval_samples": 23110,
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"eval_samples_per_second": 12.906,
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"eval_steps_per_second": 3.227
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 2048,
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"pad_token_id": 0,
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"transformers_version": "4.35.0"
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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 sha256:4b6026a6d907e1120bf1ca55ac62e3f7b71259388512ecf8d64a222f323e1f29
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size 2200119864
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runs/Nov19_19-26-17_VincentPC/events.out.tfevents.1700440141.VincentPC.25449.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:136eb4f400de4e3dda7a80f9ef6b5ebcd76fdaf0b434103180a7580522e05faa
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size 4463
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runs/Nov19_19-34-25_VincentPC/events.out.tfevents.1700440475.VincentPC.29517.0
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version https://git-lfs.github.com/spec/v1
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size 76605
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runs/Nov19_19-34-25_VincentPC/events.out.tfevents.1700483563.VincentPC.29517.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:c36e71e0712de1aa4b93329641655815683648ecce8efef9ded74920d44ed2c8
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size 359
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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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.
See raw diff
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 2048,
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"pad_token": "</s>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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train_results.json
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{
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"epoch": 0.7,
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"train_loss": 1.200063390965842,
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"train_runtime": 41297.3635,
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"train_samples": 207865,
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"train_samples_per_second": 5.033,
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"train_steps_per_second": 0.079
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}
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trainer_state.json
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| 1 |
+
{
|
| 2 |
+
"best_metric": null,
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| 3 |
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"best_model_checkpoint": null,
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| 4 |
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"epoch": 0.7025997267496681,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 2282,
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| 7 |
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"is_hyper_param_search": false,
|
| 8 |
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"is_local_process_zero": true,
|
| 9 |
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"is_world_process_zero": true,
|
| 10 |
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"log_history": [
|
| 11 |
+
{
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| 12 |
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"epoch": 0.0,
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| 13 |
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"learning_rate": 1.9999995319361092e-05,
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| 14 |
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"loss": 1.7428,
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| 15 |
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"step": 1
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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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"epoch": 0.0,
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| 19 |
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"learning_rate": 1.999988298424633e-05,
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| 20 |
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"loss": 1.5853,
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