Model save
Browse files- README.md +66 -0
- all_results.json +13 -0
- config.json +26 -0
- eval_results.json +8 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
- train_results.json +8 -0
- trainer_state.json +1598 -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: mistralai/Mistral-7B-Instruct-v0.2
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tags:
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- generated_from_trainer
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model-index:
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- name: mistral_yt_transcribe_classification_4096
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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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# mistral_yt_transcribe_classification_4096
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0436
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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-07
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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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- num_devices: 2
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- total_eval_batch_size: 8
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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: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0349 | 1.0 | 640 | 0.0343 |
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| 0.0289 | 2.0 | 1281 | 0.0311 |
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| 0.0153 | 3.0 | 1921 | 0.0351 |
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| 0.008 | 4.0 | 2560 | 0.0436 |
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### Framework versions
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- Transformers 4.36.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 4.0,
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"eval_loss": 0.04360830411314964,
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"eval_runtime": 139.6808,
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"eval_samples": 1132,
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"eval_samples_per_second": 8.104,
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"eval_steps_per_second": 1.017,
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"train_loss": 0.14580336088401963,
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"train_runtime": 21789.2225,
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"train_samples": 10247,
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"train_samples_per_second": 1.881,
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"train_steps_per_second": 0.117
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}
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config.json
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{
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"_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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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": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.36.0",
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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": 4.0,
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"eval_loss": 0.04360830411314964,
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"eval_runtime": 139.6808,
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"eval_samples": 1132,
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"eval_samples_per_second": 8.104,
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"eval_steps_per_second": 1.017
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}
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generation_config.json
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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": "4.36.0"
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}
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model-00001-of-00003.safetensors
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size 4943162336
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model-00002-of-00003.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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@@ -0,0 +1,24 @@
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{
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|
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|
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|
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|
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|
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|
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|
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"single_word": false
|
23 |
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}
|
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}
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tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
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size 493443
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tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
28 |
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}
|
29 |
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},
|
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|
31 |
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"bos_token": "<s>",
|
32 |
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '### Input:\n' + message['content'] }}\n{% elif message['role'] == 'system' %}\n{{ '### Instruction:' + message['content'] }}\n{% elif message['role'] == 'assistant' %}\n{{ '\n###Response :\n' + message['content'] }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '###Response :\n' }}\n{% endif %}\n{% endfor %}",
|
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|
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"eos_token": "</s>",
|
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|
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|
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|
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|
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|
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"tokenizer_class": "LlamaTokenizer",
|
41 |
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"unk_token": "<unk>",
|
42 |
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"use_default_system_prompt": false
|
43 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
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{
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|
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trainer_state.json
ADDED
@@ -0,0 +1,1598 @@
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