upload
Browse files- README.md +59 -0
- all_results.json +7 -0
- checkpoint-1000/config.json +28 -0
- checkpoint-1000/generation_config.json +7 -0
- checkpoint-1000/model-00001-of-00003.safetensors +3 -0
- checkpoint-1000/model-00002-of-00003.safetensors +3 -0
- checkpoint-1000/model-00003-of-00003.safetensors +3 -0
- checkpoint-1000/model.safetensors.index.json +171 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/rng_state_0.pth +3 -0
- checkpoint-1000/rng_state_1.pth +3 -0
- checkpoint-1000/rng_state_2.pth +3 -0
- checkpoint-1000/rng_state_3.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/special_tokens_map.json +30 -0
- checkpoint-1000/tokenizer.model +3 -0
- checkpoint-1000/tokenizer_config.json +51 -0
- checkpoint-1000/trainer_state.json +721 -0
- checkpoint-1000/training_args.bin +3 -0
- config.json +28 -0
- generation_config.json +7 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
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- runs/Feb22_05-59-21_e8792c30e3aa/events.out.tfevents.1708582264.e8792c30e3aa.257.0 +3 -0
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- tokenizer.model +3 -0
- tokenizer_config.json +51 -0
- train_results.json +7 -0
- trainer_log.jsonl +159 -0
- trainer_state.json +1136 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
README.md
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---
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license: other
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base_model: google/gemma-2b
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: final_trained
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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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# final_trained
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the samvaad-hi-v1 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: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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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: 1.0
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### Training results
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 1.5383612829627413,
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"train_runtime": 4681.1872,
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"train_samples_per_second": 21.666,
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"train_steps_per_second": 0.338
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}
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checkpoint-1000/config.json
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{
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"_name_or_path": "google/gemma-2b",
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"architectures": [
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"GemmaForCausalLM"
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],
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"head_dim": 256,
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"hidden_act": "gelu",
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"intermediate_size": 16384,
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"max_position_embeddings": 8192,
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"model_type": "gemma",
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"num_attention_heads": 8,
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"num_hidden_layers": 18,
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"num_key_value_heads": 1,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"torch_dtype": "float32",
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"transformers_version": "4.39.0.dev0",
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"use_cache": false,
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"vocab_size": 256000
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}
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checkpoint-1000/generation_config.json
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}
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checkpoint-1000/model-00001-of-00003.safetensors
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