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Browse files- README.md +61 -0
- all_results.json +14 -0
- checkpoint-100/config.json +25 -0
- checkpoint-100/generation_config.json +6 -0
- checkpoint-100/model.safetensors +3 -0
- checkpoint-100/optimizer.pt +3 -0
- checkpoint-100/rng_state.pth +3 -0
- checkpoint-100/scheduler.pt +3 -0
- checkpoint-100/special_tokens_map.json +30 -0
- checkpoint-100/spiece.model +3 -0
- checkpoint-100/tokenizer.json +0 -0
- checkpoint-100/tokenizer_config.json +47 -0
- checkpoint-100/trainer_state.json +87 -0
- checkpoint-100/training_args.bin +3 -0
- config.json +25 -0
- eval_results.json +9 -0
- generation_config.json +6 -0
- logs/events.out.tfevents.1706010791.a231f4d877cb.32974.0 +3 -0
- logs/events.out.tfevents.1706015754.a231f4d877cb.32974.1 +3 -0
- model.safetensors +3 -0
- special_tokens_map.json +30 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +47 -0
- train_results.json +8 -0
- trainer_state.json +96 -0
- training_args.bin +3 -0
README.md
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---
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base_model: None
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tags:
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- generated_from_trainer
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model-index:
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- name: checkpoints-mistral-300M-FA2
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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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# checkpoints-mistral-300M-FA2
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This model is a fine-tuned version of [None](https://huggingface.co/None) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 8.3607
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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: 0.0006
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 256
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- total_train_batch_size: 4096
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=0.0001
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 1000
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- training_steps: 100
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 8.361 | 2.87 | 100 | 8.3607 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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all_results.json
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{
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"epoch": 2.87,
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"eval_loss": 8.360694885253906,
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"eval_runtime": 47.1861,
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"eval_samples": 8752,
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"eval_samples_per_second": 185.478,
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"eval_steps_per_second": 11.592,
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"perplexity": 4275.664830790565,
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"train_loss": 9.417760696411133,
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"train_runtime": 4915.0289,
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"train_samples": 142865,
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"train_samples_per_second": 83.336,
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"train_steps_per_second": 0.02
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}
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checkpoint-100/config.json
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{
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"_name_or_path": "None",
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"architectures": [
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"MistralForCausalLM"
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],
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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": 768,
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"initializer_range": 0.02,
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"intermediate_size": 2400,
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"max_position_embeddings": 2048,
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"model_type": "mistral",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"num_key_value_heads": 6,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 1024,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"use_cache": true,
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"vocab_size": 50257
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}
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checkpoint-100/generation_config.json
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"_from_model_config": true,
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"transformers_version": "4.35.2"
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}
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checkpoint-100/model.safetensors
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version https://git-lfs.github.com/spec/v1
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checkpoint-100/optimizer.pt
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checkpoint-100/rng_state.pth
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checkpoint-100/scheduler.pt
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checkpoint-100/special_tokens_map.json
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checkpoint-100/spiece.model
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checkpoint-100/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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checkpoint-100/tokenizer_config.json
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checkpoint-100/trainer_state.json
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],
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}
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checkpoint-100/training_args.bin
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version https://git-lfs.github.com/spec/v1
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