Upload 11 files

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,202 @@
 ---
-license: mit
+library_name: peft
+base_model: google/gemma-7b-it
 ---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.10.0

adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "google/gemma-7b-it",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "up_proj",
+    "down_proj",
+    "q_proj",
+    "v_proj",
+    "o_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6dd0c93fe824c53529b349ea4e5c418ecf9ccd87638eeaca4afab2d19922b8ea
+size 800116456

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6aa3567550884ff75fbdda07cca17a1fa26c34c0c9ecc2d559b18de813922565
+size 401282420

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aa9f0fbc4fc147ce79f4adf8030fcd8c9dce1ac3ca17484f2219d70f29482c4d
+size 14244

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a60c7d771c1fd156acee762fba03c724cb41829a3f71df370ecd1d20b134982
+size 1064

special_tokens_map.json

@@ -0,0 +1,34 @@
+{
+  "additional_special_tokens": [
+    "<start_of_turn>",
+    "<end_of_turn>"
+  ],
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<eos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce19157ce6b457736a0015a2a4fb06c966c6ff252ec9d1950777eec6598abf6d
+size 17478028

tokenizer_config.json

@@ -0,0 +1,70 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<eos>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<bos>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "106": {
+      "content": "<start_of_turn>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "107": {
+      "content": "<end_of_turn>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<start_of_turn>",
+    "<end_of_turn>"
+  ],
+  "bos_token": "<bos>",
+  "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<eos>",
+  "legacy": null,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

trainer_state.json

@@ -0,0 +1,721 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.019436345966958212,
+  "eval_steps": 500,
+  "global_step": 100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0,
+      "grad_norm": 2.820549726486206,
+      "learning_rate": 0.00019805941782534764,
+      "loss": 4.7714,
+      "step": 1
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 2.7905406951904297,
+      "learning_rate": 0.00019605881764529358,
+      "loss": 4.8623,
+      "step": 2
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 1.4746589660644531,
+      "learning_rate": 0.00019405821746523957,
+      "loss": 3.7993,
+      "step": 3
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 2.333172559738159,
+      "learning_rate": 0.00019205761728518557,
+      "loss": 4.5898,
+      "step": 4
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 1.711241602897644,
+      "learning_rate": 0.00019005701710513156,
+      "loss": 3.1208,
+      "step": 5
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 2.001378059387207,
+      "learning_rate": 0.00018805641692507753,
+      "loss": 2.7962,
+      "step": 6
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 2.5922505855560303,
+      "learning_rate": 0.00018605581674502352,
+      "loss": 2.7348,
+      "step": 7
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 3.073798179626465,
+      "learning_rate": 0.00018405521656496952,
+      "loss": 2.4213,
+      "step": 8
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 2.494370937347412,
+      "learning_rate": 0.00018205461638491548,
+      "loss": 2.2847,
+      "step": 9
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 3.1938252449035645,
+      "learning_rate": 0.00018005401620486148,
+      "loss": 2.2266,
+      "step": 10
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 1.0904405117034912,
+      "learning_rate": 0.00017805341602480744,
+      "loss": 1.7216,
+      "step": 11
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 0.8593369126319885,
+      "learning_rate": 0.00017605281584475344,
+      "loss": 2.0195,
+      "step": 12
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 1.051988959312439,
+      "learning_rate": 0.00017405221566469943,
+      "loss": 1.8962,
+      "step": 13
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 1.313820242881775,
+      "learning_rate": 0.00017205161548464542,
+      "loss": 1.735,
+      "step": 14
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 1.035528302192688,
+      "learning_rate": 0.00017005101530459136,
+      "loss": 2.0408,
+      "step": 15
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 0.8312838077545166,
+      "learning_rate": 0.00016805041512453736,
+      "loss": 1.7348,
+      "step": 16
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 1.406984806060791,
+      "learning_rate": 0.00016604981494448335,
+      "loss": 1.9893,
+      "step": 17
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 1.0014063119888306,
+      "learning_rate": 0.00016404921476442935,
+      "loss": 1.7413,
+      "step": 18
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 1.1123204231262207,
+      "learning_rate": 0.0001620486145843753,
+      "loss": 1.642,
+      "step": 19
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 0.9622805118560791,
+      "learning_rate": 0.0001600480144043213,
+      "loss": 1.8947,
+      "step": 20
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 0.9021405577659607,
+      "learning_rate": 0.0001580474142242673,
+      "loss": 1.8771,
+      "step": 21
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 0.7586336135864258,
+      "learning_rate": 0.00015604681404421327,
+      "loss": 1.7902,
+      "step": 22
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 0.8033269643783569,
+      "learning_rate": 0.00015404621386415926,
+      "loss": 1.536,
+      "step": 23
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 0.8731617331504822,
+      "learning_rate": 0.00015204561368410523,
+      "loss": 1.6825,
+      "step": 24
+    },
+    {
+      "epoch": 0.0,
+      "grad_norm": 0.7662222981452942,
+      "learning_rate": 0.00015004501350405122,
+      "loss": 1.6269,
+      "step": 25
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.8472873568534851,
+      "learning_rate": 0.00014804441332399721,
+      "loss": 1.7143,
+      "step": 26
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.8353914618492126,
+      "learning_rate": 0.0001460438131439432,
+      "loss": 0.9914,
+      "step": 27
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.8981612324714661,
+      "learning_rate": 0.00014404321296388918,
+      "loss": 1.1645,
+      "step": 28
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7975760698318481,
+      "learning_rate": 0.00014204261278383514,
+      "loss": 1.4233,
+      "step": 29
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7593973875045776,
+      "learning_rate": 0.00014004201260378114,
+      "loss": 1.4445,
+      "step": 30
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.9403287172317505,
+      "learning_rate": 0.00013804141242372713,
+      "loss": 1.4302,
+      "step": 31
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.9004844427108765,
+      "learning_rate": 0.00013604081224367312,
+      "loss": 1.5638,
+      "step": 32
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.8177943229675293,
+      "learning_rate": 0.0001340402120636191,
+      "loss": 1.3372,
+      "step": 33
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.733913004398346,
+      "learning_rate": 0.00013203961188356508,
+      "loss": 1.2174,
+      "step": 34
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7267743945121765,
+      "learning_rate": 0.00013003901170351108,
+      "loss": 1.0346,
+      "step": 35
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.9789184331893921,
+      "learning_rate": 0.00012803841152345704,
+      "loss": 1.4935,
+      "step": 36
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7921544909477234,
+      "learning_rate": 0.000126037811343403,
+      "loss": 1.2153,
+      "step": 37
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.687468945980072,
+      "learning_rate": 0.000124037211163349,
+      "loss": 1.096,
+      "step": 38
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7953901290893555,
+      "learning_rate": 0.000122036610983295,
+      "loss": 1.3469,
+      "step": 39
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.6782249212265015,
+      "learning_rate": 0.00012003601080324098,
+      "loss": 1.1761,
+      "step": 40
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7382201552391052,
+      "learning_rate": 0.00011803541062318697,
+      "loss": 1.2891,
+      "step": 41
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7965229749679565,
+      "learning_rate": 0.00011603481044313295,
+      "loss": 1.2347,
+      "step": 42
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.6263877153396606,
+      "learning_rate": 0.00011403421026307892,
+      "loss": 1.2815,
+      "step": 43
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.8494048714637756,
+      "learning_rate": 0.00011203361008302491,
+      "loss": 1.4406,
+      "step": 44
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.8479952216148376,
+      "learning_rate": 0.0001100330099029709,
+      "loss": 1.1149,
+      "step": 45
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.6989169716835022,
+      "learning_rate": 0.00010803240972291689,
+      "loss": 1.3057,
+      "step": 46
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.8104137182235718,
+      "learning_rate": 0.00010603180954286287,
+      "loss": 1.1267,
+      "step": 47
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.8028876781463623,
+      "learning_rate": 0.00010403120936280886,
+      "loss": 1.6476,
+      "step": 48
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7756268382072449,
+      "learning_rate": 0.00010203060918275482,
+      "loss": 1.2497,
+      "step": 49
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7349205613136292,
+      "learning_rate": 0.00010003000900270081,
+      "loss": 0.9531,
+      "step": 50
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.6500608325004578,
+      "learning_rate": 9.802940882264679e-05,
+      "loss": 1.026,
+      "step": 51
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.6990982294082642,
+      "learning_rate": 9.602880864259278e-05,
+      "loss": 1.119,
+      "step": 52
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 1.040234923362732,
+      "learning_rate": 9.402820846253876e-05,
+      "loss": 1.9937,
+      "step": 53
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.6553092002868652,
+      "learning_rate": 9.202760828248476e-05,
+      "loss": 1.1563,
+      "step": 54
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7430468797683716,
+      "learning_rate": 9.002700810243074e-05,
+      "loss": 1.0199,
+      "step": 55
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.748374342918396,
+      "learning_rate": 8.802640792237672e-05,
+      "loss": 1.2218,
+      "step": 56
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.6465599536895752,
+      "learning_rate": 8.602580774232271e-05,
+      "loss": 1.3286,
+      "step": 57
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.8411876559257507,
+      "learning_rate": 8.402520756226868e-05,
+      "loss": 1.2057,
+      "step": 58
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.8302045464515686,
+      "learning_rate": 8.202460738221467e-05,
+      "loss": 1.5277,
+      "step": 59
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7100818753242493,
+      "learning_rate": 8.002400720216065e-05,
+      "loss": 1.3326,
+      "step": 60
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.6247999668121338,
+      "learning_rate": 7.802340702210663e-05,
+      "loss": 1.0997,
+      "step": 61
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 1.1579809188842773,
+      "learning_rate": 7.602280684205261e-05,
+      "loss": 1.565,
+      "step": 62
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7506289482116699,
+      "learning_rate": 7.402220666199861e-05,
+      "loss": 1.2788,
+      "step": 63
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7227886915206909,
+      "learning_rate": 7.202160648194459e-05,
+      "loss": 0.9065,
+      "step": 64
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 1.144627332687378,
+      "learning_rate": 7.002100630189057e-05,
+      "loss": 1.6695,
+      "step": 65
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7828360199928284,
+      "learning_rate": 6.802040612183656e-05,
+      "loss": 1.0203,
+      "step": 66
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 1.2042758464813232,
+      "learning_rate": 6.601980594178254e-05,
+      "loss": 1.2251,
+      "step": 67
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.6878300905227661,
+      "learning_rate": 6.401920576172852e-05,
+      "loss": 0.8927,
+      "step": 68
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7350767850875854,
+      "learning_rate": 6.20186055816745e-05,
+      "loss": 1.0885,
+      "step": 69
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7477673292160034,
+      "learning_rate": 6.001800540162049e-05,
+      "loss": 1.2264,
+      "step": 70
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.8758525848388672,
+      "learning_rate": 5.801740522156648e-05,
+      "loss": 1.3656,
+      "step": 71
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.742152214050293,
+      "learning_rate": 5.601680504151246e-05,
+      "loss": 1.1293,
+      "step": 72
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7166507840156555,
+      "learning_rate": 5.4016204861458444e-05,
+      "loss": 1.2553,
+      "step": 73
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.6855165362358093,
+      "learning_rate": 5.201560468140443e-05,
+      "loss": 1.2659,
+      "step": 74
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.8550592064857483,
+      "learning_rate": 5.0015004501350405e-05,
+      "loss": 1.2631,
+      "step": 75
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.6638922691345215,
+      "learning_rate": 4.801440432129639e-05,
+      "loss": 0.972,
+      "step": 76
+    },
+    {
+      "epoch": 0.01,
+      "grad_norm": 0.7261601090431213,
+      "learning_rate": 4.601380414124238e-05,
+      "loss": 1.2276,
+      "step": 77
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.7439085245132446,
+      "learning_rate": 4.401320396118836e-05,
+      "loss": 1.0153,
+      "step": 78
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.6688580513000488,
+      "learning_rate": 4.201260378113434e-05,
+      "loss": 0.9473,
+      "step": 79
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 1.1068280935287476,
+      "learning_rate": 4.0012003601080326e-05,
+      "loss": 1.3205,
+      "step": 80
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.6699922680854797,
+      "learning_rate": 3.801140342102631e-05,
+      "loss": 1.2403,
+      "step": 81
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.8933495879173279,
+      "learning_rate": 3.6010803240972294e-05,
+      "loss": 1.0529,
+      "step": 82
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.7752862572669983,
+      "learning_rate": 3.401020306091828e-05,
+      "loss": 1.1408,
+      "step": 83
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 1.043106198310852,
+      "learning_rate": 3.200960288086426e-05,
+      "loss": 1.0511,
+      "step": 84
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.6093169450759888,
+      "learning_rate": 3.0009002700810245e-05,
+      "loss": 0.9798,
+      "step": 85
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.9623333811759949,
+      "learning_rate": 2.800840252075623e-05,
+      "loss": 0.8907,
+      "step": 86
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.7118967175483704,
+      "learning_rate": 2.6007802340702216e-05,
+      "loss": 1.224,
+      "step": 87
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.7716160416603088,
+      "learning_rate": 2.4007202160648196e-05,
+      "loss": 1.2367,
+      "step": 88
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.8782191872596741,
+      "learning_rate": 2.200660198059418e-05,
+      "loss": 1.2046,
+      "step": 89
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.8954662084579468,
+      "learning_rate": 2.0006001800540163e-05,
+      "loss": 1.1141,
+      "step": 90
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.7129700183868408,
+      "learning_rate": 1.8005401620486147e-05,
+      "loss": 1.2983,
+      "step": 91
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.8731375932693481,
+      "learning_rate": 1.600480144043213e-05,
+      "loss": 1.1551,
+      "step": 92
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.6418743133544922,
+      "learning_rate": 1.4004201260378114e-05,
+      "loss": 1.0709,
+      "step": 93
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.5780905485153198,
+      "learning_rate": 1.2003601080324098e-05,
+      "loss": 0.7904,
+      "step": 94
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.6729098558425903,
+      "learning_rate": 1.0003000900270082e-05,
+      "loss": 1.2541,
+      "step": 95
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.9264962673187256,
+      "learning_rate": 8.002400720216065e-06,
+      "loss": 0.9846,
+      "step": 96
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.6398671865463257,
+      "learning_rate": 6.001800540162049e-06,
+      "loss": 1.007,
+      "step": 97
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.639799952507019,
+      "learning_rate": 4.001200360108033e-06,
+      "loss": 1.0604,
+      "step": 98
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.6854999661445618,
+      "learning_rate": 2.0006001800540163e-06,
+      "loss": 0.8762,
+      "step": 99
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 0.7004562020301819,
+      "learning_rate": 0.0,
+      "loss": 0.9948,
+      "step": 100
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 100,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "total_flos": 1.5977891623471104e+16,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c6776507015d5062729966e7dab24eb3614937306444c1dbbd46f2d1a0333736
+size 4920