End of training

README.md

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+---
+license: apache-2.0
+base_model: LeoLM/leo-mistral-hessianai-7b
+tags:
+- generated_from_trainer
+model-index:
+- name: LeoMistral_V06_BRONCO_CARDIO_SUMMARY_CATALOG
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# LeoMistral_V06_BRONCO_CARDIO_SUMMARY_CATALOG
+
+This model is a fine-tuned version of [LeoLM/leo-mistral-hessianai-7b](https://huggingface.co/LeoLM/leo-mistral-hessianai-7b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2802
+- Num Input Tokens Seen: 56173093
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Input Tokens Seen |
+|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
+| 0.7643        | 0.25  | 1377  | 0.7811          | 2763564           |
+| 0.6186        | 0.5   | 2754  | 0.6358          | 5558436           |
+| 0.5504        | 0.75  | 4131  | 0.5620          | 8313712           |
+| 0.5311        | 1.0   | 5508  | 0.5014          | 11183370          |
+| 0.3525        | 1.25  | 6885  | 0.4752          | 13968826          |
+| 0.4545        | 1.5   | 8262  | 0.4221          | 16892566          |
+| 0.4189        | 1.75  | 9639  | 0.3897          | 19596674          |
+| 0.297         | 2.0   | 11016 | 0.3561          | 22472546          |
+| 0.2219        | 2.25  | 12393 | 0.3447          | 25171614          |
+| 0.2962        | 2.5   | 13770 | 0.3171          | 28070134          |
+| 0.2244        | 2.75  | 15147 | 0.2974          | 30841414          |
+| 0.307         | 3.0   | 16524 | 0.2774          | 33754586          |
+| 0.1942        | 3.25  | 17901 | 0.2824          | 36458478          |
+| 0.2212        | 3.5   | 19278 | 0.2762          | 39268846          |
+| 0.1737        | 3.75  | 20655 | 0.2713          | 42149206          |
+| 0.2141        | 4.0   | 22032 | 0.2692          | 44987298          |
+| 0.2088        | 4.25  | 23409 | 0.2795          | 47803982          |
+| 0.0971        | 4.5   | 24786 | 0.2801          | 50611334          |
+| 0.1567        | 4.75  | 26163 | 0.2802          | 53414782          |
+| 0.1923        | 5.0   | 27540 | 0.2802          | 56173093          |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "LeoLM/leo-mistral-hessianai-7b",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_token_id": 2,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 2,
+  "transformers_version": "4.40.2"
+}

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    }
+  ],
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "2": {
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "</s>",
+    "<s>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'].strip() + '\n\n' %}{% else %}{% set loop_messages = messages %}{% set system_message = '' %}{% endif %}{{ bos_token + system_message }}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '### Anweisung:\n' + message['content'].strip() + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ '### Antwort:\n' + message['content'].strip() + eos_token + '\n\n' }}{% endif %}{% if loop.last and message['role'] == 'user' and add_generation_prompt %}{{ '### Antwort:\n' }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}

training_args.bin

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