End of training

README.md

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+---
+license: apache-2.0
+base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+tags:
+- xcomet_xl_xxl
+- generated_from_trainer
+model-index:
+- name: cpo-xcomet-xl_xxl-inc7b-10p-shuff-5e-7-full-tiny2
+  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. -->
+
+# cpo-xcomet-xl_xxl-inc7b-10p-shuff-5e-7-full-tiny2
+
+This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the Unbabel/TowerAligned-v0.1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5858
+- Nll Loss: 0.9632
+- Logps/best: -93.9459
+- Rewards/chosen: -9.3946
+- Rewards/rejected: -8.9636
+- Rewards/accuracies: 0.4740
+- Rewards/margins: -0.4310
+- Logps/rejected: -89.6356
+- Logps/chosen: -93.9459
+- Logits/rejected: -1.8013
+- Logits/chosen: -1.9355
+
+## 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-07
+- train_batch_size: 1
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Nll Loss | Logps/best | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 3.1908        | 0.5317 | 500  | 2.7136          | 1.0203   | -99.1796   | -9.9180        | -9.3876          | 0.4600             | -0.5304         | -93.8759       | -99.1796     | -1.8188         | -1.9550       |
+| 2.7347        | 1.0635 | 1000 | 2.6365          | 0.9846   | -95.9023   | -9.5902        | -9.1174          | 0.4720             | -0.4728         | -91.1739       | -95.9023     | -1.8087         | -1.9438       |
+| 2.5644        | 1.5952 | 1500 | 2.6035          | 0.9703   | -94.5918   | -9.4592        | -9.0135          | 0.4680             | -0.4456         | -90.1355       | -94.5918     | -1.8043         | -1.9388       |
+| 2.6495        | 2.1270 | 2000 | 2.5883          | 0.9646   | -94.0702   | -9.4070        | -8.9746          | 0.4720             | -0.4324         | -89.7462       | -94.0702     | -1.8018         | -1.9361       |
+| 2.4747        | 2.6587 | 2500 | 2.5858          | 0.9632   | -93.9459   | -9.3946        | -8.9636          | 0.4740             | -0.4310         | -89.6356       | -93.9459     | -1.8013         | -1.9355       |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.4.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.43.3",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "4.43.3"
+}

model.safetensors

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+size 2200119864

special_tokens_map.json

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

tokenizer.model

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+size 499723

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
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+      "special": true
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

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