Upload folder using huggingface_hub
Browse files- README.md +51 -1
- all_results.json +8 -0
- checkpoint-1000/config.json +26 -0
- checkpoint-1000/generation_config.json +6 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/pytorch_model.bin +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/special_tokens_map.json +5 -0
- checkpoint-1000/tokenizer.json +0 -0
- checkpoint-1000/tokenizer.model +3 -0
- checkpoint-1000/tokenizer_config.json +38 -0
- checkpoint-1000/trainer_state.json +1219 -0
- checkpoint-1000/training_args.bin +3 -0
- config.json +26 -0
- generation_config.json +6 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +5 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +38 -0
- train_results.json +8 -0
- trainer_state.json +202 -0
- training_args.bin +3 -0
README.md
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---
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-
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---
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---
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base_model: ./output
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tags:
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- generated_from_trainer
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model-index:
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- name: output
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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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# output
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This model is a fine-tuned version of [./output](https://huggingface.co/./output) on an unknown dataset.
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 128
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- num_epochs: 1.0
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### Training results
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 4.884670708277454,
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"train_runtime": 5501.4397,
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"train_samples": 37518,
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"train_samples_per_second": 6.82,
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"train_steps_per_second": 0.027
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}
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checkpoint-1000/config.json
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{
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"_name_or_path": "./output",
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"architectures": [
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"LlamaForCausalLM"
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],
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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": 256,
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"max_position_embeddings": 8192,
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"model_type": "llama",
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"num_attention_heads": 4,
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"num_hidden_layers": 2,
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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": "float32",
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"transformers_version": "4.34.0.dev0",
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"use_cache": true,
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"vocab_size": 32000
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}
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checkpoint-1000/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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"eos_token_id": 2,
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"transformers_version": "4.34.0.dev0"
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}
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checkpoint-1000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:01e43fe435f1ef34f45ed9c628a4b31462d9cddc926ebd8584bff10d3bc23729
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size 141585770
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checkpoint-1000/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 70790896
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checkpoint-1000/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14575
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checkpoint-1000/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 627
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checkpoint-1000/special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"unk_token": "<unk>"
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}
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checkpoint-1000/tokenizer.json
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checkpoint-1000/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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size 499723
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checkpoint-1000/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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"special": true
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},
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"1": {
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},
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"2": {
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"content": "</s>",
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"special": true
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"additional_special_tokens": [],
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}
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checkpoint-1000/trainer_state.json
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